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
]
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
]
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
]
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
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
]
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
]
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
]