Models of Neural Networks I:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1995
|
| Ausgabe: | Second Updated Edition |
| Schriftenreihe: | Physics of Neural Networks
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks |
| Beschreibung: | 1 Online-Ressource (XVIII, 355p. 79 illus., 3 illus. in color) |
| ISBN: | 9783642798146 9783642798160 |
| ISSN: | 0939-3145 |
| DOI: | 10.1007/978-3-642-79814-6 |
Internformat
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Datensatz im Suchindex
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| id | DE-604.BV042413675 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:20:53Z |
| institution | BVB |
| isbn | 9783642798146 9783642798160 |
| issn | 0939-3145 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027849168 |
| oclc_num | 863864313 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-83 |
| owner_facet | DE-91 DE-BY-TUM DE-83 |
| physical | 1 Online-Ressource (XVIII, 355p. 79 illus., 3 illus. in color) |
| psigel | ZDB-2-PHA ZDB-2-BAE ZDB-2-PHA_Archive |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Springer Berlin Heidelberg |
| record_format | marc |
| series2 | Physics of Neural Networks |
| spelling | Domany, Eytan Verfasser aut Models of Neural Networks I edited by Eytan Domany, J. Leo Hemmen, Klaus Schulten Second Updated Edition Berlin, Heidelberg Springer Berlin Heidelberg 1995 1 Online-Ressource (XVIII, 355p. 79 illus., 3 illus. in color) txt rdacontent c rdamedia cr rdacarrier Physics of Neural Networks 0939-3145 This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks Physics Neurosciences Optical pattern recognition Statistical Physics, Dynamical Systems and Complexity Pattern Recognition Biophysics and Biological Physics Hemmen, J. Leo Sonstige oth Schulten, Klaus Sonstige oth https://doi.org/10.1007/978-3-642-79814-6 Verlag Volltext |
| spellingShingle | Domany, Eytan Models of Neural Networks I Physics Neurosciences Optical pattern recognition Statistical Physics, Dynamical Systems and Complexity Pattern Recognition Biophysics and Biological Physics |
| title | Models of Neural Networks I |
| title_auth | Models of Neural Networks I |
| title_exact_search | Models of Neural Networks I |
| title_full | Models of Neural Networks I edited by Eytan Domany, J. Leo Hemmen, Klaus Schulten |
| title_fullStr | Models of Neural Networks I edited by Eytan Domany, J. Leo Hemmen, Klaus Schulten |
| title_full_unstemmed | Models of Neural Networks I edited by Eytan Domany, J. Leo Hemmen, Klaus Schulten |
| title_short | Models of Neural Networks I |
| title_sort | models of neural networks i |
| topic | Physics Neurosciences Optical pattern recognition Statistical Physics, Dynamical Systems and Complexity Pattern Recognition Biophysics and Biological Physics |
| topic_facet | Physics Neurosciences Optical pattern recognition Statistical Physics, Dynamical Systems and Complexity Pattern Recognition Biophysics and Biological Physics |
| url | https://doi.org/10.1007/978-3-642-79814-6 |
| work_keys_str_mv | AT domanyeytan modelsofneuralnetworksi AT hemmenjleo modelsofneuralnetworksi AT schultenklaus modelsofneuralnetworksi |