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:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/430577
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author Sundararajan, N
Saratchandran, P
Wei Lu Ying
author_facet Sundararajan, N
Saratchandran, P
Wei Lu Ying
author_sort Sundararajan, N
collection CERN
description 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
id cern-430577
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1999
publisher World Scientific
record_format invenio
spelling cern-4305772021-04-22T03:09:54Zhttp://cds.cern.ch/record/430577engSundararajan, NSaratchandran, PWei Lu YingRadial basis function neural networks with sequential learning: MRAN and its applicationsComputing and ComputersThis 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 tWorld Scientificoai:cds.cern.ch:4305771999
spellingShingle Computing and Computers
Sundararajan, N
Saratchandran, P
Wei Lu Ying
Radial basis function neural networks with sequential learning: MRAN and its applications
title Radial basis function neural networks with sequential learning: MRAN and its applications
title_full Radial basis function neural networks with sequential learning: MRAN and its applications
title_fullStr Radial basis function neural networks with sequential learning: MRAN and its applications
title_full_unstemmed Radial basis function neural networks with sequential learning: MRAN and its applications
title_short Radial basis function neural networks with sequential learning: MRAN and its applications
title_sort radial basis function neural networks with sequential learning: mran and its applications
topic Computing and Computers
url http://cds.cern.ch/record/430577
work_keys_str_mv AT sundararajann radialbasisfunctionneuralnetworkswithsequentiallearningmrananditsapplications
AT saratchandranp radialbasisfunctionneuralnetworkswithsequentiallearningmrananditsapplications
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