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李俊賢

Li, Chun-Shien

jamesli@mgt.ncu.edu.tw

國科會計畫統計

先進複數型模糊類神經計算之研究
1050801~1060731
資訊熵在複數型模糊類神經系統之研究
1040801~1050731
[Shannon entropy, complex fuzzy, variable selection, classification, regression, ]

期刊著作

高斯分布鯨群演算法於最佳化問題之研究 A Study on the Gaussian Distribution Based Whale Optimization Algorithm for Optimization Problems
電子商務學報, 25, 1, 89-126, 2023-04-01
[ 高斯分布,鯨群最佳化演算法,最佳化演算法,無約束型測試函數,約束型測試函數,Gaussian distribution,whale optimization algorithm,optimization algorithm,unconstrained test function,constrained test function ]
多目標函數仿真機器學習研究－使用基因演算法與遞迴式最小平方估計方法 Machine Learning Approach to Multi-Function Approximation Using GA-RLSE Algorithm
電子商務學報, 24, 1, 1~26, 2022-06-30
[ 複數模糊集合,複數模糊類神經系統,基因演算法,遞迴式最小平方估計法,多目標函數仿真,Complex fuzzy set (CFS),complex neuro-fuzzy system (CNFS),genetic algorithm (GA),recursive least squares estimator (RLSE),multi-function approximation ]
Multitarget prediction using an aim-object-based asymmetric neuro-fuzzy system: A novel approach
Neurocomputing, 389, 155-169, 2020-05-14
[ Aim-object layer , Aim-object-based asymmetric , Hybrid learning algorithm , Multitarget prediction , Neuro-fuzzy system , Sphere complex fuzzy set ]
模糊類神經多項參數建構之預測模式及PSO-RLSE演算法於股市投資策略之研究 Prediction Model of Multiple Fuzzy Neural Parameter on PSO-RLSE Algorithm in Stock Market Investment Strategy
Taiwan Academy of Management Journal＝TAMJ 臺灣管理學刊 (台灣管理學刊), 20, 115, 23-75, 2020-02-01
[ 類神經網路,模糊類神經模型,粒子群演算法 ]
卷積神經模糊方法於多目標時間序列預測研究 CNN-Based Neural Fuzzy Approach to Multi-Target Prediction Using Sphere Complex Fuzzy Sets
資訊管理學報, 26, 4, 483-511, 2019-12-01
[ 多目標預測,球型複數模糊集,卷積神經網路,模糊推論系統,複合式機器學習演算法 ]
Complex neural fuzzy system and its application on multi-class prediction — A novel approach using complex fuzzy sets, IIM and multi-swarm learning
Applied Soft Computing Journal, 84, 2019-11-01
[ Complex fuzzy set , Complex neural fuzzy system , Fuzzy causality , Kalman filtering algorithm , Multi-swarm PSO ]
Multiple Function Approximation - A New Approach Using Asymmetric Complex Fuzzy Inference System
Vietnam Journal of Computer Science, 6, 4, 407-422, 2019-11-01
[ aim-object part,asymmetric complex fuzzy inference system,complex fuzzy set,function approximation,Multi-target prediction ]
複數模糊類神經於趨向類別預測之研究 Prediction of Directional Classification Using Complex Neuro-Fuzzy Model
資訊管理學報, 26, 4, 413-450, 2019-10-31
[ 複數模糊類神經,複數模糊集,特徵選取,粒子群最佳化演算法,遞迴最小平方法 ]
多目標特徵挑選與時間序列預測 Multi-target Feature Selection and Time-series Forecasting
資訊管理學報, 26, 4, 451-482, 2019-10-31
[ 多目標特徵挑選,人工神經網路,球型複數模糊集,球型複數神經模糊系統,混合式機器學習 ]
Multitarget prediction—A new approach using sphere complex fuzzy sets
Engineering Applications of Artificial Intelligence, 79, 45-57, 2019-03-01
[ Complex fuzzy set , Cross-target feature selection , Influence information , Multitarget prediction , Sphere complex fuzzy set ]
A novel entropy-based approach to feature selection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10191, pp. 445-454, 2017-02-01
[ feature selection ]
Complex neurofuzzy ARIMA forecasting - A new approach using complex fuzzy sets
IEEE Transactions on Fuzzy Systems, 21, 3, 567-584, 2013-06-12
[ Complex fuzzy set (CFS) , complex neurofuzzy system (CNFS) , hybrid learning , self-organization , time-series forecasting ]
混合複數類神經模糊與自動回歸差分平均移動方法之智慧型時間序列預測模型 Intelligent time series forecasting model combining complex neuro-fuzzy computing model and ARIMA method
電子商務學報, 15, 1, 137-158, 2013-03-01
[ 複數模糊集合、複數模糊類神經系統、粒子群最佳化演算法、遞迴小平方估計法、時間序列預測 ]
Adaptive image restoration by a novel neuro-fuzzy approach using complex fuzzy sets
International Journal of Intelligent Information and Database Systems, 7, 6, 479-495, 2013-01-01
[ ABC algorithm , Artificial bee colony , CFS , CNFS , Complex fuzzy set , Complex neuro-fuzzy system , Image restoration , Recursive least squares estimator , RLSE ]
A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting
Neurocomputing, 99, 467-476, 2013-01-01
[ Complex fuzzy set (CFS) , Complex neuro-fuzzy system (CNFS) , Hybrid learning , Self-organization , Time series forecasting ]
A preliminary study of business intelligence in sports: a performance-salary model of player via artificial neural network
International Journal of Electronic Business Management, 11, 1, 13-22, 2013-01-01
[ Artificial Neural Network,Sports Business,Professional Baseball,Organization Management ]
Intelligent financial time series forecasting: A complex neuro-fuzzy approachwith multi-swarm intelligence
International Journal of Applied Mathematics and Computer Science, 22, 4, 787-800, 2012-12-01
[ Complex fuzzy set , Complex neuro-fuzzy system , Hierarchical multi-swarm particle swarm optimization , Recursive least squares estimator , Time series forecasting ]
Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling
Neurocomputing, 94, 121-139, 2012-10-01
[ Adaptive image noise canceling , Complex fuzzy set , Complex neuro-fuzzy system , Image restoration , Machine learning , PSO , RLSE ]
適應式影像還原─以計算智慧為方法 Adaptive image restoration－a computational intelligence approach
資訊管理學報, 19, 3, pp. 476-507, 2012-07-01
[ 類神經模糊系統（NFS）、粒子群演算法（PSO）、遞迴最小平方估計法（RLSE）、雜訊消除、計算智慧 ]
A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting
Engineering Applications of Artificial Intelligence, 25, 2, 295-308, 2012-03-01
[ Auto-regressive integrated moving average model (ARIMA) , Hybrid learning , Neuro-fuzzy system (NFS) , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) , Time series forecasting ]
Adaptive fuzzy approach to function approximation with PSO and RLSE
Expert Systems with Applications, 38, 10, 13266-13273, 2011-09-15
[ Function approximation , Fuzzy , Machine learning , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) ]
Function approximation with complex neuro-fuzzy system using complex fuzzy sets - A new approach
New Generation Computing, 29, 3, 261-276, 2011-07-01
[ Complex fuzzy set , Complex neuro-fuzzy system (CNFS) , Function approximation , Hybrid learning , PSO-RLSE ]
Complex fuzzy model with PSO-RLSE hybrid learning approach to function approximation
International Journal of Intelligent Information and Database Systems, 5, 4, 409-430, 2011-01-01
[ CFS , CNFS , Complex fuzzy set , Complex neuro-fuzzy system , Function approximation , Particle swarm optimisation , PSO , Recursive least squares estimator , RLSE ]
Computational intelligence hybrid learning approach to time series forecasting
World Academy of Science, Engineering and Technology, 43, 772-779, 2010-12-01
[ Forecasting , Hybrid learning (HL) , Neuro-fuzzy system (NFS) , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) , Time series ]
Fuzzy-neural sliding-mode control for DC-DC converters using asymmetric gaussian membership functions
IEEE Transactions on Industrial Electronics, 54, 3, 1528-1536, 2007-06-01
[ Adaptive control , Asymmetric gaussian membership function , Converter , Fuzzy neural network , Sliding-mode control ]
Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
Fuzzy Sets and Systems, 158, 2, 194-212, 2007-01-16
[ Hybrid learning (HL) , Least square estimation (LSE) , Modeling , Random optimization (RO) , Recurrent neuro-fuzzy system (RNFS) , System identification ]
Soft computing approach to adaptive removal of interference signal
WSEAS Transactions on Communications, 5, 9, 1719-1724, 2006-09-01
[ Adaptive notch filtering , Intelligent signal processing , Interference canceling , Machine learning , Neuro-fuzzy ]
Computational Intelligence approach to the problem of adaptive noise canceling
WSEAS Transactions on Computers, 5, 7, 1397-1404, 2006-07-01
[ Adaptive filtering , Adaptive noise cancellation , Computational intelligence , Intelligent system , Least square estimation , Machine learning , Neuro-fuzzy , Random optimization , Self construction ]
Pseudoerror-based self-organizing neuro-fuzzy system
IEEE Transactions on Fuzzy Systems, 12, 6, 812-814, 2004-12-01
[ Clustering,Learning,Neuro-fuzzy system,Parameter identification,Pseudoerror,Random optimization,Self-organization,Structure identification ]
Soft computing approach to feature extraction
Fuzzy Sets and Systems, 147, 1, 119-140, 2004-10-01
[ Feature extraction,Fingerprint image,Fuzzy-wavelet,Pattern recognition,Soft computing,Wavelet transform ]
Optimization by random search with jumps
International Journal for Numerical Methods in Engineering, 60, 7, 1301-1315, 2004-06-21
[ Derivative-free optimization , Global minimum , Interpolation check , Jump , Multi-variable function optimization , Random optimization , Random search ]
Self-organizing neuro-fuzzy system for control of unknown plants
IEEE Transactions on Fuzzy Systems, 11, 1, 135-150, 2003-02-01
[ Clustering,Neuro-fuzzy control,Self-learning,Self-organization ]
Fuzzy motion control of an auto-warehousing crane system
IEEE Transactions on Industrial Electronics, 48, 5, 983-994, 2001-10-01
[ Auto-warehousing crane system,Distance-speed control,Fuzzy logic controller,Motion control,Positioning accuracy ]
Fuzzy control of unknown multiple-input-multiple-output plants
Fuzzy Sets and Systems, 104, 2, 245-267, 1999-06-01
Self-learning general purpose PID controller
Journal of the Franklin Institute, 334, 2, 167-189, 1997-01-01
Thin gold film strain gauges
Journal of Vacuum Science and Technology A: Vacuum, Surfaces and Films, 12, 3, 813-819, 1994-01-01
基於熵的特徵選擇、複數模糊和混合機器學習於預測研究的新方法 A Novel Approach to Prediction Problems with Entropy-Based Feature Selection, Complex-Valued Fuzzy Method, and Hybrid Machine Learning
電子商務學報,
[ 傳遞熵,特徵選擇,複數模糊系統,球型複數模糊集,複數減法分群法 ]
基於多群機器學習的多目標複數神經模糊預測方法 A Novel Complex-Valued Neuro-Fuzzy Predictive Approach to Multiple Targets with Multi-Swarm Machine Learning
電子商務學報,
[ 複數神經模糊,複數數據的減法分群,球型複數模糊集,多群機器學習,多目標預測 ]
向量化複數模糊神經方法在時間序列智慧型預測之研究-使用PSO、WOA與RLSE A Study on Time Series Intelligent Forecasting by a Vectorized Complex Neuro-Fuzzy Approach Using PSO, WOA and RLSE
電子商務學報,
[ 多目標預測,類神經模糊系統,金融時間序列 ]

研討會著作

A Social Hierarchy Based Hybrid Optimization Method — A New Approach
2025-03-26
[ Hybrid metaheuristics,swarm intelligence, social hierarchy,Optimization ]
Hybrid learning fuzzy approach to function approximation
2010-12-01
[ Function approximation , Fuzzy , Machine learning , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) ]
Complex neuro-fuzzy intelligent approach to function approximation
151-156, 2010-11-17
Hardware neuro-fuzzy learning
282-286, 2007-12-01
Image restoration using RO learning approach
2006-12-01
[ Adaptive filter , Block processing , Machine-learning , Random-optimization ]
Hybrid evolutionary soft-computing approach for unknown system identification
1440-1449, 2006-01-01
[ Hybrid learning , Neuro-fuzzy systems , Random optimization , System identification / modeling , Weighted Gaussian function ]
Self-organizing intelligent system and its application for hard disk drive control
2263-2268, 2005-09-01
RO-based self-organizing neuro-fuzzy approach for HDD positioning control
2615-2625, 2005-01-01
[ Hard disk drives , Random optimization , Self-organization , Track seeking/following control ]
Cluster-based self-organizing neuro-fuzzy system with hybrid learning approach for function approximation
1186-1189, 2005-01-01
Hybrid learning neuro-fuzzy approach for complex modeling using asymmetric fuzzy sets
5-9, 2005-01-01
Soft computing approach to adaptive noise filtering
1-5, 2004-12-01
Fuzzy depth control of an unmanned free-swimming submersible vehicle
194-199, 2002-01-01
[ Fuzzy depth control , Fuzzy logic controller (FLC) , Pitch elevator , Unmanned free-swimming submersible vehicle ]
Soft computing system using fuzzy clustering and on-line learning
1050-1055, 2002-01-01
[ Crane motion control , Fuzzy clustering , On-line learning , Pesudo-errors , Self-organization , Statistical regression ]
Self-organizing fuzzy intelligent system
473-477, 2002-01-01
[ Clustering , Fuzzy control , Inverse learning control , Random optimization , Self-learning , Self-organization , Temperature control ]
Soft computing system for motion control
364-369, 2001-01-01
[ Cluster , Crane system , Motion control , Neuro-fuzzy system , Parameter learning , Pseudo-error , Random optimization , Self-organization , Soft-computing ]
Self-learning neurofuzzy controller
987-990, 1996-12-01

專書

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
243-254, 2018-01-01
[ Complex fuzzy set,Function approximation,Fuzzy system,Multi-target prediction ]
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
445-454, 2017-01-01
[ Feature selection,Information entropy,Probability density estimation,Time series dataset ]
當代人力與知識管理：理論與實務研究
142-155, 2015-08-01
[ 職場友誼,心理資本,幸福感 ]
當代人力與知識管理：理論與實務研究
123-141, 2015-08-01
[ 顧客滿意度,口碑,再購意願,DAY SPA ]
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
320-329, 2012-03-27
[ artificial bee colony (ABC),complex fuzzy set (CFS),complex neuro-fuzzy system (CNFS),knowledge discovery,recursive least squares estimator (RLSE) ]
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
90-99, 2011-12-01
[ Artificial bee colony (ABC),Complex fuzzy set (CFS),Complex neuro-fuzzy system (CNFS),Image restoration,Recursive least square estimator (RLSE) ]
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
411-420, 2011-12-01
[ Clustering,Forecasting,Fuzzy system,Hybrid learning,Particle Swarm Optimization (PSO),Recursive Least Squares Estimator (RLSE) ]
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
242-251, 2011-12-01
[ Complex fuzzy set (CFS),Complex neuro-fuzzy system (CNFS),Hierarchical multi-swarm particle swarm optimization (HMSPSO),Recursive least square estimator (RLSE),Time series forecasting ]
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
616-625, 2011-06-14
[ hybrid learning,neuro-fuzzy system (NFS),particle swarm optimization (PSO),recursive least-squares estimator (RLSE),self-organization,time series forecasting ]
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
289-299, 2010-09-17
[ complex fuzzy set,complex neuro-fuzzy system (CNFS),function approximation,machine learning,PSO,RLSE ]

李俊賢

Li, Chun-Shien

現職

專長

專長簡述

最高學歷

相關連結

科技部學門領域

政府GRB研究專長領域

教育部學門領域

國科會計畫統計

先進複數型模糊類神經計算之研究 1050801~1060731

資訊熵在複數型模糊類神經系統之研究 1040801~1050731 [Shannon entropy, complex fuzzy, variable selection, classification, regression, ]

期刊著作

Multitarget prediction using an aim-object-based asymmetric neuro-fuzzy system: A novel approach Neurocomputing, 389, 155-169, 2020-05-14 [ Aim-object layer , Aim-object-based asymmetric , Hybrid learning algorithm , Multitarget prediction , Neuro-fuzzy system , Sphere complex fuzzy set ]

Multiple Function Approximation - A New Approach Using Asymmetric Complex Fuzzy Inference System Vietnam Journal of Computer Science, 6, 4, 407-422, 2019-11-01 [ aim-object part,asymmetric complex fuzzy inference system,complex fuzzy set,function approximation,Multi-target prediction ]

複數模糊類神經於趨向類別預測之研究 Prediction of Directional Classification Using Complex Neuro-Fuzzy Model 資訊管理學報, 26, 4, 413-450, 2019-10-31 [ 複數模糊類神經,複數模糊集,特徵選取,粒子群最佳化演算法,遞迴 最小平方法 ]

多目標特徵挑選與時間序列預測 Multi-target Feature Selection and Time-series Forecasting 資訊管理學報, 26, 4, 451-482, 2019-10-31 [ 多目標特徵挑選,人工神經網路,球型複數模糊集,球型複數神經模糊系統,混合式機器學習 ]

Multitarget prediction—A new approach using sphere complex fuzzy sets Engineering Applications of Artificial Intelligence, 79, 45-57, 2019-03-01 [ Complex fuzzy set , Cross-target feature selection , Influence information , Multitarget prediction , Sphere complex fuzzy set ]

A novel entropy-based approach to feature selection Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10191, pp. 445-454, 2017-02-01 [ feature selection ]

Complex neurofuzzy ARIMA forecasting - A new approach using complex fuzzy sets IEEE Transactions on Fuzzy Systems, 21, 3, 567-584, 2013-06-12 [ Complex fuzzy set (CFS) , complex neurofuzzy system (CNFS) , hybrid learning , self-organization , time-series forecasting ]

A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting Neurocomputing, 99, 467-476, 2013-01-01 [ Complex fuzzy set (CFS) , Complex neuro-fuzzy system (CNFS) , Hybrid learning , Self-organization , Time series forecasting ]

A preliminary study of business intelligence in sports: a performance-salary model of player via artificial neural network International Journal of Electronic Business Management, 11, 1, 13-22, 2013-01-01 [ Artificial Neural Network,Sports Business,Professional Baseball,Organization Management ]

Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling Neurocomputing, 94, 121-139, 2012-10-01 [ Adaptive image noise canceling , Complex fuzzy set , Complex neuro-fuzzy system , Image restoration , Machine learning , PSO , RLSE ]

Adaptive fuzzy approach to function approximation with PSO and RLSE Expert Systems with Applications, 38, 10, 13266-13273, 2011-09-15 [ Function approximation , Fuzzy , Machine learning , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) ]

Function approximation with complex neuro-fuzzy system using complex fuzzy sets - A new approach New Generation Computing, 29, 3, 261-276, 2011-07-01 [ Complex fuzzy set , Complex neuro-fuzzy system (CNFS) , Function approximation , Hybrid learning , PSO-RLSE ]

Fuzzy-neural sliding-mode control for DC-DC converters using asymmetric gaussian membership functions IEEE Transactions on Industrial Electronics, 54, 3, 1528-1536, 2007-06-01 [ Adaptive control , Asymmetric gaussian membership function , Converter , Fuzzy neural network , Sliding-mode control ]

Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling Fuzzy Sets and Systems, 158, 2, 194-212, 2007-01-16 [ Hybrid learning (HL) , Least square estimation (LSE) , Modeling , Random optimization (RO) , Recurrent neuro-fuzzy system (RNFS) , System identification ]

Soft computing approach to adaptive removal of interference signal WSEAS Transactions on Communications, 5, 9, 1719-1724, 2006-09-01 [ Adaptive notch filtering , Intelligent signal processing , Interference canceling , Machine learning , Neuro-fuzzy ]

Pseudoerror-based self-organizing neuro-fuzzy system IEEE Transactions on Fuzzy Systems, 12, 6, 812-814, 2004-12-01 [ Clustering,Learning,Neuro-fuzzy system,Parameter identification,Pseudoerror,Random optimization,Self-organization,Structure identification ]

Soft computing approach to feature extraction Fuzzy Sets and Systems, 147, 1, 119-140, 2004-10-01 [ Feature extraction,Fingerprint image,Fuzzy-wavelet,Pattern recognition,Soft computing,Wavelet transform ]

Optimization by random search with jumps International Journal for Numerical Methods in Engineering, 60, 7, 1301-1315, 2004-06-21 [ Derivative-free optimization , Global minimum , Interpolation check , Jump , Multi-variable function optimization , Random optimization , Random search ]

Self-organizing neuro-fuzzy system for control of unknown plants IEEE Transactions on Fuzzy Systems, 11, 1, 135-150, 2003-02-01 [ Clustering,Neuro-fuzzy control,Self-learning,Self-organization ]

Fuzzy motion control of an auto-warehousing crane system IEEE Transactions on Industrial Electronics, 48, 5, 983-994, 2001-10-01 [ Auto-warehousing crane system,Distance-speed control,Fuzzy logic controller,Motion control,Positioning accuracy ]

Fuzzy control of unknown multiple-input-multiple-output plants Fuzzy Sets and Systems, 104, 2, 245-267, 1999-06-01

Self-learning general purpose PID controller Journal of the Franklin Institute, 334, 2, 167-189, 1997-01-01

Thin gold film strain gauges Journal of Vacuum Science and Technology A: Vacuum, Surfaces and Films, 12, 3, 813-819, 1994-01-01

向量化複數模糊神經方法在時間序列智慧型預 測之研究-使用PSO、WOA與RLSE A Study on Time Series Intelligent Forecasting by a Vectorized Complex Neuro-Fuzzy Approach Using PSO, WOA and RLSE 電子商務學報, [ 多目標預測,類神經模糊系統,金融時間序列 ]

研討會著作

A Social Hierarchy Based Hybrid Optimization Method — A New Approach 2025-03-26 [ Hybrid metaheuristics,swarm intelligence, social hierarchy,Optimization ]

Hybrid learning fuzzy approach to function approximation 2010-12-01 [ Function approximation , Fuzzy , Machine learning , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) ]

Complex neuro-fuzzy intelligent approach to function approximation 151-156, 2010-11-17

Hardware neuro-fuzzy learning 282-286, 2007-12-01

Image restoration using RO learning approach 2006-12-01 [ Adaptive filter , Block processing , Machine-learning , Random-optimization ]

Hybrid evolutionary soft-computing approach for unknown system identification 1440-1449, 2006-01-01 [ Hybrid learning , Neuro-fuzzy systems , Random optimization , System identification / modeling , Weighted Gaussian function ]

Self-organizing intelligent system and its application for hard disk drive control 2263-2268, 2005-09-01

RO-based self-organizing neuro-fuzzy approach for HDD positioning control 2615-2625, 2005-01-01 [ Hard disk drives , Random optimization , Self-organization , Track seeking/following control ]

Cluster-based self-organizing neuro-fuzzy system with hybrid learning approach for function approximation 1186-1189, 2005-01-01

Hybrid learning neuro-fuzzy approach for complex modeling using asymmetric fuzzy sets 5-9, 2005-01-01

Soft computing approach to adaptive noise filtering 1-5, 2004-12-01

Fuzzy depth control of an unmanned free-swimming submersible vehicle 194-199, 2002-01-01 [ Fuzzy depth control , Fuzzy logic controller (FLC) , Pitch elevator , Unmanned free-swimming submersible vehicle ]

Soft computing system using fuzzy clustering and on-line learning 1050-1055, 2002-01-01 [ Crane motion control , Fuzzy clustering , On-line learning , Pesudo-errors , Self-organization , Statistical regression ]

Self-organizing fuzzy intelligent system 473-477, 2002-01-01 [ Clustering , Fuzzy control , Inverse learning control , Random optimization , Self-learning , Self-organization , Temperature control ]

Soft computing system for motion control 364-369, 2001-01-01 [ Cluster , Crane system , Motion control , Neuro-fuzzy system , Parameter learning , Pseudo-error , Random optimization , Self-organization , Soft-computing ]

Self-learning neurofuzzy controller 987-990, 1996-12-01

專書

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 243-254, 2018-01-01 [ Complex fuzzy set,Function approximation,Fuzzy system,Multi-target prediction ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 445-454, 2017-01-01 [ Feature selection,Information entropy,Probability density estimation,Time series dataset ]

當代人力與知識管理：理論與實務研究 142-155, 2015-08-01 [ 職場友誼,心理資本,幸福感 ]

當代人力與知識管理：理論與實務研究 123-141, 2015-08-01 [ 顧客滿意度,口碑,再購意願,DAY SPA ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 90-99, 2011-12-01 [ Artificial bee colony (ABC),Complex fuzzy set (CFS),Complex neuro-fuzzy system (CNFS),Image restoration,Recursive least square estimator (RLSE) ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 411-420, 2011-12-01 [ Clustering,Forecasting,Fuzzy system,Hybrid learning,Particle Swarm Optimization (PSO),Recursive Least Squares Estimator (RLSE) ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 289-299, 2010-09-17 [ complex fuzzy set,complex neuro-fuzzy system (CNFS),function approximation,machine learning,PSO,RLSE ]

先進複數型模糊類神經計算之研究
1050801~1060731

資訊熵在複數型模糊類神經系統之研究
1040801~1050731
[Shannon entropy, complex fuzzy, variable selection, classification, regression, ]

Multitarget prediction using an aim-object-based asymmetric neuro-fuzzy system: A novel approach
Neurocomputing, 389, 155-169, 2020-05-14
[ Aim-object layer , Aim-object-based asymmetric , Hybrid learning algorithm , Multitarget prediction , Neuro-fuzzy system , Sphere complex fuzzy set ]

Multiple Function Approximation - A New Approach Using Asymmetric Complex Fuzzy Inference System
Vietnam Journal of Computer Science, 6, 4, 407-422, 2019-11-01
[ aim-object part,asymmetric complex fuzzy inference system,complex fuzzy set,function approximation,Multi-target prediction ]

複數模糊類神經於趨向類別預測之研究 Prediction of Directional Classification Using Complex Neuro-Fuzzy Model
資訊管理學報, 26, 4, 413-450, 2019-10-31
[ 複數模糊類神經,複數模糊集,特徵選取,粒子群最佳化演算法,遞迴最小平方法 ]

多目標特徵挑選與時間序列預測 Multi-target Feature Selection and Time-series Forecasting
資訊管理學報, 26, 4, 451-482, 2019-10-31
[ 多目標特徵挑選,人工神經網路,球型複數模糊集,球型複數神經模糊系統,混合式機器學習 ]

Multitarget prediction—A new approach using sphere complex fuzzy sets
Engineering Applications of Artificial Intelligence, 79, 45-57, 2019-03-01
[ Complex fuzzy set , Cross-target feature selection , Influence information , Multitarget prediction , Sphere complex fuzzy set ]

A novel entropy-based approach to feature selection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10191, pp. 445-454, 2017-02-01
[ feature selection ]

Complex neurofuzzy ARIMA forecasting - A new approach using complex fuzzy sets
IEEE Transactions on Fuzzy Systems, 21, 3, 567-584, 2013-06-12
[ Complex fuzzy set (CFS) , complex neurofuzzy system (CNFS) , hybrid learning , self-organization , time-series forecasting ]

A novel self-organizing complex neuro-fuzzy approach to the problem of time series forecasting
Neurocomputing, 99, 467-476, 2013-01-01
[ Complex fuzzy set (CFS) , Complex neuro-fuzzy system (CNFS) , Hybrid learning , Self-organization , Time series forecasting ]

A preliminary study of business intelligence in sports: a performance-salary model of player via artificial neural network
International Journal of Electronic Business Management, 11, 1, 13-22, 2013-01-01
[ Artificial Neural Network,Sports Business,Professional Baseball,Organization Management ]

Self-learning complex neuro-fuzzy system with complex fuzzy sets and its application to adaptive image noise canceling
Neurocomputing, 94, 121-139, 2012-10-01
[ Adaptive image noise canceling , Complex fuzzy set , Complex neuro-fuzzy system , Image restoration , Machine learning , PSO , RLSE ]

Adaptive fuzzy approach to function approximation with PSO and RLSE
Expert Systems with Applications, 38, 10, 13266-13273, 2011-09-15
[ Function approximation , Fuzzy , Machine learning , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) ]

Function approximation with complex neuro-fuzzy system using complex fuzzy sets - A new approach
New Generation Computing, 29, 3, 261-276, 2011-07-01
[ Complex fuzzy set , Complex neuro-fuzzy system (CNFS) , Function approximation , Hybrid learning , PSO-RLSE ]

Fuzzy-neural sliding-mode control for DC-DC converters using asymmetric gaussian membership functions
IEEE Transactions on Industrial Electronics, 54, 3, 1528-1536, 2007-06-01
[ Adaptive control , Asymmetric gaussian membership function , Converter , Fuzzy neural network , Sliding-mode control ]

Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling
Fuzzy Sets and Systems, 158, 2, 194-212, 2007-01-16
[ Hybrid learning (HL) , Least square estimation (LSE) , Modeling , Random optimization (RO) , Recurrent neuro-fuzzy system (RNFS) , System identification ]

Soft computing approach to adaptive removal of interference signal
WSEAS Transactions on Communications, 5, 9, 1719-1724, 2006-09-01
[ Adaptive notch filtering , Intelligent signal processing , Interference canceling , Machine learning , Neuro-fuzzy ]

Pseudoerror-based self-organizing neuro-fuzzy system
IEEE Transactions on Fuzzy Systems, 12, 6, 812-814, 2004-12-01
[ Clustering,Learning,Neuro-fuzzy system,Parameter identification,Pseudoerror,Random optimization,Self-organization,Structure identification ]

Soft computing approach to feature extraction
Fuzzy Sets and Systems, 147, 1, 119-140, 2004-10-01
[ Feature extraction,Fingerprint image,Fuzzy-wavelet,Pattern recognition,Soft computing,Wavelet transform ]

Optimization by random search with jumps
International Journal for Numerical Methods in Engineering, 60, 7, 1301-1315, 2004-06-21
[ Derivative-free optimization , Global minimum , Interpolation check , Jump , Multi-variable function optimization , Random optimization , Random search ]

Self-organizing neuro-fuzzy system for control of unknown plants
IEEE Transactions on Fuzzy Systems, 11, 1, 135-150, 2003-02-01
[ Clustering,Neuro-fuzzy control,Self-learning,Self-organization ]

Fuzzy motion control of an auto-warehousing crane system
IEEE Transactions on Industrial Electronics, 48, 5, 983-994, 2001-10-01
[ Auto-warehousing crane system,Distance-speed control,Fuzzy logic controller,Motion control,Positioning accuracy ]

Fuzzy control of unknown multiple-input-multiple-output plants
Fuzzy Sets and Systems, 104, 2, 245-267, 1999-06-01

Self-learning general purpose PID controller
Journal of the Franklin Institute, 334, 2, 167-189, 1997-01-01

Thin gold film strain gauges
Journal of Vacuum Science and Technology A: Vacuum, Surfaces and Films, 12, 3, 813-819, 1994-01-01

向量化複數模糊神經方法在時間序列智慧型預測之研究-使用PSO、WOA與RLSE A Study on Time Series Intelligent Forecasting by a Vectorized Complex Neuro-Fuzzy Approach Using PSO, WOA and RLSE
電子商務學報,
[ 多目標預測,類神經模糊系統,金融時間序列 ]

A Social Hierarchy Based Hybrid Optimization Method — A New Approach
2025-03-26
[ Hybrid metaheuristics,swarm intelligence, social hierarchy,Optimization ]

Hybrid learning fuzzy approach to function approximation
2010-12-01
[ Function approximation , Fuzzy , Machine learning , Particle swarm optimization (PSO) , Recursive least-squares estimator (RLSE) ]

Complex neuro-fuzzy intelligent approach to function approximation
151-156, 2010-11-17

Hardware neuro-fuzzy learning
282-286, 2007-12-01

Image restoration using RO learning approach
2006-12-01
[ Adaptive filter , Block processing , Machine-learning , Random-optimization ]

Hybrid evolutionary soft-computing approach for unknown system identification
1440-1449, 2006-01-01
[ Hybrid learning , Neuro-fuzzy systems , Random optimization , System identification / modeling , Weighted Gaussian function ]

Self-organizing intelligent system and its application for hard disk drive control
2263-2268, 2005-09-01

RO-based self-organizing neuro-fuzzy approach for HDD positioning control
2615-2625, 2005-01-01
[ Hard disk drives , Random optimization , Self-organization , Track seeking/following control ]

Cluster-based self-organizing neuro-fuzzy system with hybrid learning approach for function approximation
1186-1189, 2005-01-01

Hybrid learning neuro-fuzzy approach for complex modeling using asymmetric fuzzy sets
5-9, 2005-01-01

Soft computing approach to adaptive noise filtering
1-5, 2004-12-01

Fuzzy depth control of an unmanned free-swimming submersible vehicle
194-199, 2002-01-01
[ Fuzzy depth control , Fuzzy logic controller (FLC) , Pitch elevator , Unmanned free-swimming submersible vehicle ]

Soft computing system using fuzzy clustering and on-line learning
1050-1055, 2002-01-01
[ Crane motion control , Fuzzy clustering , On-line learning , Pesudo-errors , Self-organization , Statistical regression ]

Self-organizing fuzzy intelligent system
473-477, 2002-01-01
[ Clustering , Fuzzy control , Inverse learning control , Random optimization , Self-learning , Self-organization , Temperature control ]

Soft computing system for motion control
364-369, 2001-01-01
[ Cluster , Crane system , Motion control , Neuro-fuzzy system , Parameter learning , Pseudo-error , Random optimization , Self-organization , Soft-computing ]

Self-learning neurofuzzy controller
987-990, 1996-12-01

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
243-254, 2018-01-01
[ Complex fuzzy set,Function approximation,Fuzzy system,Multi-target prediction ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
445-454, 2017-01-01
[ Feature selection,Information entropy,Probability density estimation,Time series dataset ]

當代人力與知識管理：理論與實務研究
142-155, 2015-08-01
[ 職場友誼,心理資本,幸福感 ]

當代人力與知識管理：理論與實務研究
123-141, 2015-08-01
[ 顧客滿意度,口碑,再購意願,DAY SPA ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
90-99, 2011-12-01
[ Artificial bee colony (ABC),Complex fuzzy set (CFS),Complex neuro-fuzzy system (CNFS),Image restoration,Recursive least square estimator (RLSE) ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
411-420, 2011-12-01
[ Clustering,Forecasting,Fuzzy system,Hybrid learning,Particle Swarm Optimization (PSO),Recursive Least Squares Estimator (RLSE) ]

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
289-299, 2010-09-17
[ complex fuzzy set,complex neuro-fuzzy system (CNFS),function approximation,machine learning,PSO,RLSE ]