Radial Basis Function Neural Networks With Sequential Learning, Progress In Neural Processing
Author:   Ying Wei Lu (Kent Ridge Digital Lab, S'pore) ,  P Saratchandran (Ntu, S'pore) ,  Narasimman Sundararajan (Ntu, S'pore) ,  Lu Ying Wei
Publisher:   World Scientific Publishing Co Pte Ltd
Volume:   11
ISBN:  

9789810237714


Pages:   232
Publication Date:   05 October 1999
Format:   Hardback
Availability:   Awaiting stock   Availability explained
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Radial Basis Function Neural Networks With Sequential Learning, Progress In Neural Processing


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Overview

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.

Full Product Details

Author:   Ying Wei Lu (Kent Ridge Digital Lab, S'pore) ,  P Saratchandran (Ntu, S'pore) ,  Narasimman Sundararajan (Ntu, S'pore) ,  Lu Ying Wei
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Volume:   11
ISBN:  

9789810237714


ISBN 10:   9810237715
Pages:   232
Publication Date:   05 October 1999
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

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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