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Radial Basis Function Neural Networks With Sequential Learning, Progress In Neural Processing: 11 - Hardcover

 
9789810237714: Radial Basis Function Neural Networks With Sequential Learning, Progress In Neural Processing: 11

Inhaltsangabe

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.

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Reseña del editor

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.

Reseña del editor

A presentation of the 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.

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  • VerlagWorld Scientific Publishing Co Pte Ltd
  • Erscheinungsdatum1999
  • ISBN 10 9810237715
  • ISBN 13 9789810237714
  • EinbandTapa dura
  • SpracheEnglisch
  • Anzahl der Seiten232
  • Kontakt zum HerstellerNicht verfügbar

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P. Saratchandran, Lu Ying Wei, Narasimman Sundararajan
ISBN 10: 9810237715 ISBN 13: 9789810237714
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Zustand: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. | Seiten: 232 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 1241751/2

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