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...
Gespeichert in:
Beteilige Person: | |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Singapore
World Scientific Pub. Co.
c1999
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Schriftenreihe: | Progress in neural processing
11 |
Schlagwörter: | |
Links: | http://www.worldscientific.com/worldscibooks/10.1142/4024#t=toc http://www.worldscientific.com/worldscibooks/10.1142/4024#t=toc |
Zusammenfassung: | 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 |
Umfang: | xv, 214 p. ill |
ISBN: | 9789812812506 9812812504 |
Internformat
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520 | |a 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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Datensatz im Suchindex
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any_adam_object | |
author | Sundararajan, N. |
author_facet | Sundararajan, N. |
author_role | aut |
author_sort | Sundararajan, N. |
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format | Electronic eBook |
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id | DE-604.BV044636283 |
illustrated | Illustrated |
indexdate | 2024-12-20T18:07:39Z |
institution | BVB |
isbn | 9789812812506 9812812504 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030034254 |
oclc_num | 1012656345 |
open_access_boolean | |
owner | DE-92 |
owner_facet | DE-92 |
physical | xv, 214 p. ill |
psigel | ZDB-124-WOP ZDB-124-WOP FHN_PDA_WOP |
publishDate | 1999 |
publishDateSearch | 1999 |
publishDateSort | 1999 |
publisher | World Scientific Pub. Co. |
record_format | marc |
series2 | Progress in neural processing |
spelling | Sundararajan, N. Verfasser aut Radial basis function neural networks with sequential learning MRAN and its applications N. Sundararajan & P. Saratchandran, Lu Ying Wei Singapore World Scientific Pub. Co. c1999 xv, 214 p. ill txt rdacontent c rdamedia cr rdacarrier Progress in neural processing 11 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 Neural networks (Computer science) Saratchandran, P. Sonstige oth Lu, Ying Wei Sonstige oth Erscheint auch als Druck-Ausgabe 9789810237714 Erscheint auch als Druck-Ausgabe 9810237715 http://www.worldscientific.com/worldscibooks/10.1142/4024#t=toc Verlag URL des Erstveroeffentlichers Volltext |
spellingShingle | Sundararajan, N. Radial basis function neural networks with sequential learning MRAN and its applications Neural networks (Computer science) |
title | Radial basis function neural networks with sequential learning MRAN and its applications |
title_auth | Radial basis function neural networks with sequential learning MRAN and its applications |
title_exact_search | 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 N. Sundararajan & P. Saratchandran, Lu Ying Wei |
title_fullStr | Radial basis function neural networks with sequential learning MRAN and its applications N. Sundararajan & P. Saratchandran, Lu Ying Wei |
title_full_unstemmed | Radial basis function neural networks with sequential learning MRAN and its applications N. Sundararajan & P. Saratchandran, Lu Ying Wei |
title_short | Radial basis function neural networks with sequential learning |
title_sort | radial basis function neural networks with sequential learning mran and its applications |
title_sub | MRAN and its applications |
topic | Neural networks (Computer science) |
topic_facet | Neural networks (Computer science) |
url | http://www.worldscientific.com/worldscibooks/10.1142/4024#t=toc |
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