Mathematical approaches to neural networks:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
North-Holland
1993
|
| Schriftenreihe: | North-Holland mathematical library
v. 51 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 Includes bibliographical references |
| Beschreibung: | 1 Online-Ressource (vii, 382 p.) |
| ISBN: | 9780444816924 0444816925 9780080887395 0080887392 128179340X 9781281793409 |
Internformat
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| 500 | |a Includes bibliographical references | ||
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
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| isbn | 9780444816924 0444816925 9780080887395 0080887392 128179340X 9781281793409 |
| language | English |
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| spelling | Mathematical approaches to neural networks edited by J.G. Taylor Amsterdam North-Holland 1993 1 Online-Ressource (vii, 382 p.) txt rdacontent c rdamedia cr rdacarrier North-Holland mathematical library v. 51 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 Includes bibliographical references Artificial intelligence / Mathematical models Neurale netwerken gtt Réseaux neuronaux (Informatique) / Mathématiques ram Neural networks (Computer science) / Mathematics fast COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Künstliche Intelligenz Mathematik Mathematisches Modell Neural networks (Computer science) Mathematics Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Taylor, J. G. Sonstige oth http://www.sciencedirect.com/science/book/9780444816924 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Mathematical approaches to neural networks Artificial intelligence / Mathematical models Neurale netwerken gtt Réseaux neuronaux (Informatique) / Mathématiques ram Neural networks (Computer science) / Mathematics fast COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Künstliche Intelligenz Mathematik Mathematisches Modell Neural networks (Computer science) Mathematics Neuronales Netz (DE-588)4226127-2 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4114528-8 |
| title | Mathematical approaches to neural networks |
| title_auth | Mathematical approaches to neural networks |
| title_exact_search | Mathematical approaches to neural networks |
| title_full | Mathematical approaches to neural networks edited by J.G. Taylor |
| title_fullStr | Mathematical approaches to neural networks edited by J.G. Taylor |
| title_full_unstemmed | Mathematical approaches to neural networks edited by J.G. Taylor |
| title_short | Mathematical approaches to neural networks |
| title_sort | mathematical approaches to neural networks |
| topic | Artificial intelligence / Mathematical models Neurale netwerken gtt Réseaux neuronaux (Informatique) / Mathématiques ram Neural networks (Computer science) / Mathematics fast COMPUTERS / Enterprise Applications / Business Intelligence Tools bisacsh COMPUTERS / Intelligence (AI) & Semantics bisacsh Künstliche Intelligenz Mathematik Mathematisches Modell Neural networks (Computer science) Mathematics Neuronales Netz (DE-588)4226127-2 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Artificial intelligence / Mathematical models Neurale netwerken Réseaux neuronaux (Informatique) / Mathématiques Neural networks (Computer science) / Mathematics COMPUTERS / Enterprise Applications / Business Intelligence Tools COMPUTERS / Intelligence (AI) & Semantics Künstliche Intelligenz Mathematik Mathematisches Modell Neural networks (Computer science) Mathematics Neuronales Netz |
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