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Mathematical approaches to neural networks /
The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress bei...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
North-Holland,
1993.
|
| Colección: | North-Holland mathematical library ;
v. 51. |
| Temas: | |
| Acceso en línea: | Texto completo Texto completo Texto completo |
MARC
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| 245 | 0 | 0 | |a Mathematical approaches to neural networks / |c edited by J.G. Taylor. |
| 260 | |a Amsterdam ; |a New York : |b North-Holland, |c 1993. | ||
| 300 | |a 1 online resource (vii, 382 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a North-Holland mathematical library ; |v v. 51 | |
| 520 | |a The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing. This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks. | ||
| 504 | |a Includes bibliographical references. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Mathematical Approaches to Neural Networks, Volume 51; Copyright Page; Preface; Table of Contents; Chapter 1. Control Theory Approach; Chapter 2. Computational Learning Theory for Artificial Neural Networks; Chapter 3. Time-summating Network Approach; Chapter 4. The Numerical Analysis Approach; Chapter 5. Self-organising Neural Networks for Stable Control of Autonomous Behavior in a Changing World; Chapter 6. On-line Learning Processes in Artificial Neural Networks; Chapter 7. Multilayer Functionals; Chapter 8. Neural Networks: The Spin Glass Approach. | |
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a 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. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 650 | 0 | |a Neural networks (Computer science) |x Mathematics. | |
| 650 | 6 | |a R�eseaux neuronaux (Informatique) |0 (CaQQLa)201-0209597 |x Math�ematiques. |0 (CaQQLa)201-0380112 | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Neural networks (Computer science) |x Mathematics. |2 fast |0 (OCoLC)fst01036266 | |
| 650 | 1 | 7 | |a Neurale netwerken. |2 gtt |
| 650 | 7 | |a R�eseaux neuronaux (Informatique) |x Math�ematiques. |2 ram | |
| 653 | 0 | |a Artificial intelligence |a Mathematical models | |
| 700 | 1 | |a Taylor, J. G. |q (John Gerald), |d 1931-2012. | |
| 776 | 0 | 8 | |i Print version: |t Mathematical approaches to neural networks. |d Amsterdam ; New York : North-Holland, 1993 |z 0444816925 |z 9780444816924 |w (DLC) 93034573 |w (OCoLC)28846193 |
| 830 | 0 | |a North-Holland mathematical library ; |v v. 51. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780444816924 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/publication?issn=09246509&volume=51 |z Texto completo |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/bookseries/09246509/51 |z Texto completo |