An introduction to the modeling of neural networks:
This text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
1992
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| Schriftenreihe: | Collection Aléa-Saclay : monographs and texts in statistical physics
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 URL des Erstveröffentlichers |
| Zusammenfassung: | This text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers. The book is divided into four parts. The first part gives an account of the anatomy of the central nervous system, followed by a brief introduction to neurophysiology. The second part is devoted to the dynamics of neuronal states, and demonstrates how very simple models may stimulate associative memory. The third part of the book discusses models of learning, including detailed discussions on the limits of memory storage, methods of learning and their associated models, associativity, and error correction. The final part reviews possible applications of neural networks in artificial intelligence, expert systems, optimization problems, and the construction of actual neuronal supercomputers, with the potential for one-hundred-fold increase in speed over contemporary serial machines |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xviii, 473 pages) |
| ISBN: | 9780511622793 |
| DOI: | 10.1017/CBO9780511622793 |
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| 245 | 1 | 0 | |a An introduction to the modeling of neural networks |c Pierre Peretto |
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| 520 | |a This text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers. The book is divided into four parts. The first part gives an account of the anatomy of the central nervous system, followed by a brief introduction to neurophysiology. The second part is devoted to the dynamics of neuronal states, and demonstrates how very simple models may stimulate associative memory. The third part of the book discusses models of learning, including detailed discussions on the limits of memory storage, methods of learning and their associated models, associativity, and error correction. The final part reviews possible applications of neural networks in artificial intelligence, expert systems, optimization problems, and the construction of actual neuronal supercomputers, with the potential for one-hundred-fold increase in speed over contemporary serial machines | ||
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Datensatz im Suchindex
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| any_adam_object | |
| author | Peretto, Pierre |
| author_facet | Peretto, Pierre |
| author_role | aut |
| author_sort | Peretto, Pierre |
| author_variant | p p pp |
| building | Verbundindex |
| bvnumber | BV043940678 |
| classification_rvk | ST 130 ST 200 ST 201 ST 285 ST 300 ST 301 |
| collection | ZDB-20-CBO |
| ctrlnum | (ZDB-20-CBO)CR9780511622793 (OCoLC)849795967 (DE-599)BVBBV043940678 |
| dewey-full | 612.8/2 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 612 - Human physiology |
| dewey-raw | 612.8/2 |
| dewey-search | 612.8/2 |
| dewey-sort | 3612.8 12 |
| dewey-tens | 610 - Medicine and health |
| discipline | Informatik Medizin |
| doi_str_mv | 10.1017/CBO9780511622793 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:14Z |
| institution | BVB |
| isbn | 9780511622793 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029349648 |
| oclc_num | 849795967 |
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| owner | DE-12 DE-92 |
| owner_facet | DE-12 DE-92 |
| physical | 1 online resource (xviii, 473 pages) |
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| publishDate | 1992 |
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| publisher | Cambridge University Press |
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| series2 | Collection Aléa-Saclay : monographs and texts in statistical physics |
| spelling | Peretto, Pierre Verfasser aut An introduction to the modeling of neural networks Pierre Peretto Cambridge Cambridge University Press 1992 1 online resource (xviii, 473 pages) txt rdacontent c rdamedia cr rdacarrier Collection Aléa-Saclay : monographs and texts in statistical physics Title from publisher's bibliographic system (viewed on 05 Oct 2015) This text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers. The book is divided into four parts. The first part gives an account of the anatomy of the central nervous system, followed by a brief introduction to neurophysiology. The second part is devoted to the dynamics of neuronal states, and demonstrates how very simple models may stimulate associative memory. The third part of the book discusses models of learning, including detailed discussions on the limits of memory storage, methods of learning and their associated models, associativity, and error correction. The final part reviews possible applications of neural networks in artificial intelligence, expert systems, optimization problems, and the construction of actual neuronal supercomputers, with the potential for one-hundred-fold increase in speed over contemporary serial machines Neural circuitry Neural networks (Computer science) Nervennetz (DE-588)4041638-0 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Modell (DE-588)4039798-1 gnd rswk-swf Nervennetz (DE-588)4041638-0 s Modell (DE-588)4039798-1 s 1\p DE-604 Neuronales Netz (DE-588)4226127-2 s 2\p DE-604 Erscheint auch als Druckausgabe 978-0-521-41451-7 Erscheint auch als Druckausgabe 978-0-521-42487-5 https://doi.org/10.1017/CBO9780511622793 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Peretto, Pierre An introduction to the modeling of neural networks Neural circuitry Neural networks (Computer science) Nervennetz (DE-588)4041638-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Modell (DE-588)4039798-1 gnd |
| subject_GND | (DE-588)4041638-0 (DE-588)4226127-2 (DE-588)4039798-1 |
| title | An introduction to the modeling of neural networks |
| title_auth | An introduction to the modeling of neural networks |
| title_exact_search | An introduction to the modeling of neural networks |
| title_full | An introduction to the modeling of neural networks Pierre Peretto |
| title_fullStr | An introduction to the modeling of neural networks Pierre Peretto |
| title_full_unstemmed | An introduction to the modeling of neural networks Pierre Peretto |
| title_short | An introduction to the modeling of neural networks |
| title_sort | an introduction to the modeling of neural networks |
| topic | Neural circuitry Neural networks (Computer science) Nervennetz (DE-588)4041638-0 gnd Neuronales Netz (DE-588)4226127-2 gnd Modell (DE-588)4039798-1 gnd |
| topic_facet | Neural circuitry Neural networks (Computer science) Nervennetz Neuronales Netz Modell |
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