Design of fuzzy cognitive maps using neural networks for predicting chaotic time series

As a powerful paradigm for knowledge representation and a simulation mechanism applicable to numerous research and application fields, Fuzzy Cognitive Maps (FCMs) have attracted a great deal of attention from various research communities. However, the traditional FCMs do not provide efficient method...

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Vydáno v:	Neural networks Ročník 23; číslo 10; s. 1264 - 1275
Hlavní autoři:	Song, H.J., Miao, C.Y., Shen, Z.Q., Roel, W., Maja, D.H., Francky, C.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Kidlington Elsevier Ltd 01.12.2010 Elsevier
Témata:	Algorithms Applied sciences Artificial Intelligence Causality Cognitive maps Computer science; control theory; systems Computer Simulation Connectionism. Neural networks Exact sciences and technology Fuzzy Fuzzy cognitive maps Fuzzy Logic Fuzzy set theory Inference from stochastic processes; time series analysis Learning Mathematical models Mathematics Membership function Mutual subsethood Neural networks Neural Networks (Computer) Pattern Recognition, Automated Probability and statistics Problem Solving Sciences and techniques of general use Statistics Time series Mutual subsethood Membership function Causality Fuzzy cognitive maps Chaos Fuzzy logic Cognitive map Time series Neural network Fuzzy neural nets
ISSN:	0893-6080, 1879-2782, 1879-2782
On-line přístup:	Získat plný text
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