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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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Detalles Bibliográficos
Autores principales: Sundararajan, N, Saratchandran, P, Wei Lu Ying
Lenguaje:eng
Publicado: World Scientific 1999
Materias:
Acceso en línea:http://cds.cern.ch/record/430577
Descripción
Sumario: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 t