A guide to neural computing applications:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London
Arnold
c1998
|
| Subjects: | |
| Online Access: | FAW01 FAW02 Volltext |
| Item Description: | On t.p.: Neural Computing Applications Forum. - "Commissioned for [Neural Computing Applications Forum] members"--P. ix. - Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Includes bibliographical references and index Front Cover; A Guide to Neural Computing Applications; Copyright Page; Contents; Foreword; Chapter 1. Introduction; Chapter 2. Mathematical background for neural computing; Chapter 3. Managing a neural computing project; Chapter 4. Identifying applications and assessing their feasibility; Chapter 5. Neural computing hardware and software; Chapter 6. Collecting and preparing data; Chapter 7. Design, training and testing of the prototype; Chapter 8. The case studies; Chapter 9. More advanced topics; Appendix A: The error back-propagation algorithm for weight updates in an MLP Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more |
| Physical Description: | 1 Online-Ressource (x, 139 p.) |
| ISBN: | 0080512607 0340705892 0471255505 9780080512600 9780340705896 9780471255505 |
Staff View
MARC
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| 500 | |a On t.p.: Neural Computing Applications Forum. - "Commissioned for [Neural Computing Applications Forum] members"--P. ix. - Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Front Cover; A Guide to Neural Computing Applications; Copyright Page; Contents; Foreword; Chapter 1. Introduction; Chapter 2. Mathematical background for neural computing; Chapter 3. Managing a neural computing project; Chapter 4. Identifying applications and assessing their feasibility; Chapter 5. Neural computing hardware and software; Chapter 6. Collecting and preparing data; Chapter 7. Design, training and testing of the prototype; Chapter 8. The case studies; Chapter 9. More advanced topics; Appendix A: The error back-propagation algorithm for weight updates in an MLP | ||
| 500 | |a Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more | ||
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| spelling | Tarassenko, Lionel Verfasser aut A guide to neural computing applications Lionel Tarassenko London Arnold c1998 1 Online-Ressource (x, 139 p.) txt rdacontent c rdamedia cr rdacarrier On t.p.: Neural Computing Applications Forum. - "Commissioned for [Neural Computing Applications Forum] members"--P. ix. - Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Includes bibliographical references and index Front Cover; A Guide to Neural Computing Applications; Copyright Page; Contents; Foreword; Chapter 1. Introduction; Chapter 2. Mathematical background for neural computing; Chapter 3. Managing a neural computing project; Chapter 4. Identifying applications and assessing their feasibility; Chapter 5. Neural computing hardware and software; Chapter 6. Collecting and preparing data; Chapter 7. Design, training and testing of the prototype; Chapter 8. The case studies; Chapter 9. More advanced topics; Appendix A: The error back-propagation algorithm for weight updates in an MLP Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more COMPUTERS / Neural Networks bisacsh Neural computers fast Neural networks (Computer science) fast Ordinateurs neuronaux ram Réseaux neuronaux (informatique) ram Neural networks (Computer science) Neural computers Neural Computing Applications Forum Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=210416 Aggregator Volltext |
| spellingShingle | Tarassenko, Lionel A guide to neural computing applications COMPUTERS / Neural Networks bisacsh Neural computers fast Neural networks (Computer science) fast Ordinateurs neuronaux ram Réseaux neuronaux (informatique) ram Neural networks (Computer science) Neural computers |
| title | A guide to neural computing applications |
| title_auth | A guide to neural computing applications |
| title_exact_search | A guide to neural computing applications |
| title_full | A guide to neural computing applications Lionel Tarassenko |
| title_fullStr | A guide to neural computing applications Lionel Tarassenko |
| title_full_unstemmed | A guide to neural computing applications Lionel Tarassenko |
| title_short | A guide to neural computing applications |
| title_sort | a guide to neural computing applications |
| topic | COMPUTERS / Neural Networks bisacsh Neural computers fast Neural networks (Computer science) fast Ordinateurs neuronaux ram Réseaux neuronaux (informatique) ram Neural networks (Computer science) Neural computers |
| topic_facet | COMPUTERS / Neural Networks Neural computers Neural networks (Computer science) Ordinateurs neuronaux Réseaux neuronaux (informatique) |
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