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Other titles in the Bradford Books series:

Neural Networks for Pattern Recognition

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Neural Networks for Pattern Recognition Cover

 

Synopses & Reviews

Publisher Comments:

Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. 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 realtime 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.Albert Nigrin is Assistant Professor in the Department of Computer Science and Information Systems at American University.

Book News Annotation:

Beginning with the framework for neural networks that was developed by Stephen Grossberg and others at Boston U., Nigrin (computer science and information systems, American U.) 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 such tasks as vision, speech recognition, sensor fusion, and constraint satisfaction.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before.

Synopsis:

Albert Nigrin is Assistant Professor in the Department of Computer Science and Information Systems at American University.

Description:

Includes bibliographical references (p. [399]-405) and index.

Product Details

ISBN:
9780262140546
Author:
Nigrin, Albert
Publisher:
A Bradford Book
Location:
Cambridge, Mass. :
Subject:
Computer Science
Subject:
Systems & Planning
Subject:
Neural Networks
Subject:
Neural networks (computer science)
Subject:
Optical data processing
Subject:
Computer Vision
Subject:
Pattern recognition systems
Subject:
Self-organizing systems
Subject:
Data Processing - Optical Data Processing
Subject:
Artificial Intelligence - General
Subject:
Artificial Intelligence
Subject:
Intelligence (AI) & Semantics
Subject:
Computers-Reference - General
Edition Description:
Hardcover
Series:
Neural Networks for Pattern Recognition
Series Volume:
92-596
Publication Date:
19930916
Binding:
Hardback
Grade Level:
from 17
Language:
English
Illustrations:
Yes
Pages:
435
Dimensions:
9.1 x 6.3 x 1.3 in

Related Subjects

Computers and Internet » Artificial Intelligence » Fuzzy Logic
Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Humanities » Philosophy » General

Neural Networks for Pattern Recognition New Hardcover
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Product details 435 pages Bradford Book - English 9780262140546 Reviews:
"Synopsis" by , In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before.
"Synopsis" by , Albert Nigrin is Assistant Professor in the Department of Computer Science and Information Systems at American University.
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