N Sundararajan,
P Saratchandran,
Lu Ying Wei
RADIAL BASIS FUNCTION NEURAL NETWORKS WITH SEQUENTIAL LEARNING, PROGRESS IN NEURAL PROCESSING
Gebonden Engels 1999 9789810237714Levertijd ongeveer 11 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9789810237714
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:232
Uitgever:World Scientific Publishing Co Pte Ltd
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Inhoudsopgave
A review of radial basis function (RBF) neural networks; a novel sequential learning algorithm for minimal resource; allocation neural networks (MRAN); MRAN for function approximation and pattern classification problems; MRAN for nonlinear dynamic systems; MRAN for communication channel equalization.
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