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Neural networks for pattern recognition

Nigrin, Albert. - Personal Name;

"A Bradford book.""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."--Jacket.OCLC-licensed vendor bibliographic record.


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Detail Information
Series Title
-
Call Number
-
Publisher
Cambridge, Mass. : : MIT Press,., 1993.
Collation
1 online resource (xvii, 413 pages) :illustrations
Language
English
ISBN/ISSN
0262290936
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
NEURAL NETWORKS (COMPUTER SCIENCE)
Pattern recognition systems.
Self-organizing systems.
Specific Detail Info
-
Statement of Responsibility
Albert Nigrin.
Other Information
Cataloger
Kholif Basri
Source
https://doi.org/10.7551/mitpress/4923.001.0001
Validator
Kholif Basri
Digital Object Identifier (DOI)
-
Journal Volume
-
Journal Issue
-
Subtitle
-
Parallel Title
-
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