Neural networks for pattern recognition:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge, Mass.
MIT Press
c1993
|
Schlagworte: | |
Online-Zugang: | FHA01 FHI01 Volltext |
Beschreibung: | "A Bradford book." Includes bibliographical references (p. [399]-405) and index "Neural Networks for Pattern Recognition takes to a new level the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform real-time pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction." "Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context-sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory."--BOOK JACKET. |
Beschreibung: | 1 Online-Ressource (xvii, 413 p.) |
ISBN: | 0262140543 0262290936 9780262140546 9780262290937 |
Internformat
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245 | 1 | 0 | |a Neural networks for pattern recognition |c Albert Nigrin |
264 | 1 | |a Cambridge, Mass. |b MIT Press |c c1993 | |
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500 | |a "A Bradford book." | ||
500 | |a Includes bibliographical references (p. [399]-405) and index | ||
500 | |a "Neural Networks for Pattern Recognition takes to a new level the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform real-time pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction." "Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context-sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory."--BOOK JACKET. | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Nigrin, Albert |
author_facet | Nigrin, Albert |
author_role | aut |
author_sort | Nigrin, Albert |
author_variant | a n an |
building | Verbundindex |
bvnumber | BV042509068 |
collection | ZDB-37-IEM |
ctrlnum | (OCoLC)827009335 (DE-599)BVBBV042509068 |
dewey-full | 006.4/2 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.4/2 |
dewey-search | 006.4/2 |
dewey-sort | 16.4 12 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | DE-604.BV042509068 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:23:40Z |
institution | BVB |
isbn | 0262140543 0262290936 9780262140546 9780262290937 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027943632 |
oclc_num | 827009335 |
open_access_boolean | |
owner | DE-Aug4 DE-573 |
owner_facet | DE-Aug4 DE-573 |
physical | 1 Online-Ressource (xvii, 413 p.) |
psigel | ZDB-37-IEM ZDB-37-IEM_GB/15 |
publishDate | 1993 |
publishDateSearch | 1993 |
publishDateSort | 1993 |
publisher | MIT Press |
record_format | marc |
spelling | Nigrin, Albert Verfasser aut Neural networks for pattern recognition Albert Nigrin Cambridge, Mass. MIT Press c1993 1 Online-Ressource (xvii, 413 p.) txt rdacontent c rdamedia cr rdacarrier "A Bradford book." Includes bibliographical references (p. [399]-405) and index "Neural Networks for Pattern Recognition takes to a new level the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform real-time pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction." "Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context-sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory."--BOOK JACKET. Réseaux neuronaux (Informatique) Reconnaissance des formes (Informatique) Systèmes auto-organisés Mustererkennung swd Neuronales Netz swd Neural networks (Computer science) fast Pattern recognition systems fast Self-organizing systems fast Neural networks (Computer science) Pattern recognition systems Self-organizing systems Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Mustererkennung (DE-588)4040936-3 s Neuronales Netz (DE-588)4226127-2 s 1\p DE-604 http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267497 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Nigrin, Albert Neural networks for pattern recognition Réseaux neuronaux (Informatique) Reconnaissance des formes (Informatique) Systèmes auto-organisés Mustererkennung swd Neuronales Netz swd Neural networks (Computer science) fast Pattern recognition systems fast Self-organizing systems fast Neural networks (Computer science) Pattern recognition systems Self-organizing systems Neuronales Netz (DE-588)4226127-2 gnd Mustererkennung (DE-588)4040936-3 gnd |
subject_GND | (DE-588)4226127-2 (DE-588)4040936-3 |
title | Neural networks for pattern recognition |
title_auth | Neural networks for pattern recognition |
title_exact_search | Neural networks for pattern recognition |
title_full | Neural networks for pattern recognition Albert Nigrin |
title_fullStr | Neural networks for pattern recognition Albert Nigrin |
title_full_unstemmed | Neural networks for pattern recognition Albert Nigrin |
title_short | Neural networks for pattern recognition |
title_sort | neural networks for pattern recognition |
topic | Réseaux neuronaux (Informatique) Reconnaissance des formes (Informatique) Systèmes auto-organisés Mustererkennung swd Neuronales Netz swd Neural networks (Computer science) fast Pattern recognition systems fast Self-organizing systems fast Neural networks (Computer science) Pattern recognition systems Self-organizing systems Neuronales Netz (DE-588)4226127-2 gnd Mustererkennung (DE-588)4040936-3 gnd |
topic_facet | Réseaux neuronaux (Informatique) Reconnaissance des formes (Informatique) Systèmes auto-organisés Mustererkennung Neuronales Netz Neural networks (Computer science) Pattern recognition systems Self-organizing systems |
url | http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267497 |
work_keys_str_mv | AT nigrinalbert neuralnetworksforpatternrecognition |