Unification of neural and wavelet networks and fuzzy systems

Analyzes several commonly used soft computing paradigms (neural and wavelet networks and fuzzy systems, Bayesian classifiers, fuzzy partitions, etc.) and tries to outline similarities and differences among each other. These are exploited to produce the weighted radial basis functions paradigm which...

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Veröffentlicht in:	IEEE transactions on neural networks 1999, Vol.10 (4), p.801-814
1. Verfasser:	Reyneri, L.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analogies Applied sciences Artificial intelligence Artificial neural networks Bayesian methods Computer networks Computer science control theory systems Computers in experimental physics Connectionism. Neural networks Exact sciences and technology Function approximation Fuzzy neural networks Fuzzy systems Instruments, apparatus, components and techniques common to several branches of physics and astronomy Learning Learning and adaptive systems Networks Neural networks Neural networks, fuzzy logic, artificial intelligence Partitioning algorithms Physics Radial basis function Soft computing Taxonomy Wavelet Wavelet analysis
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