Radial basis function neural networks with sequential learning: MRAN and its applications

This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRA...

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Bibliographische Detailangaben
Beteilige Person: Sundararajan, N. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore World Scientific Pub. Co. c1999
Schriftenreihe:Progress in neural processing 11
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Links:http://www.worldscientific.com/worldscibooks/10.1142/4024#t=toc
http://www.worldscientific.com/worldscibooks/10.1142/4024#t=toc
Zusammenfassung:This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as Minimal Resource Allocation Networks (MRAN). The book describes the application of MRAN in different areas, including pattern recognition, time series prediction, system identification, control, communication and signal processing. Benchmark problems from these areas have been studied, and MRAN is compared with other algorithms. In order to make the book self-contained, a review of the existing theory of RBF networks and applications is given at the beginning
Umfang:xv, 214 p. ill
ISBN:9789812812506
9812812504