The Resource Neural networks for pattern recognition, Albert Nigrin

Neural networks for pattern recognition, Albert Nigrin

Label
Neural networks for pattern recognition
Title
Neural networks for pattern recognition
Statement of responsibility
Albert Nigrin
Creator
Subject
Language
eng
Summary
"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
Cataloging source
DLC
http://library.link/vocab/creatorName
Nigrin, Albert
Illustrations
illustrations
Index
index present
LC call number
QA76.87
LC item number
.N5 1993
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • Pattern recognition systems
  • Self-organizing systems
  • Réseaux neuronaux (Informatique)
  • Reconnaissance des formes (Informatique)
  • Systèmes auto-organisés
  • Neural networks (Computer science)
  • Pattern recognition systems
  • Self-organizing systems
  • Mustererkennung
  • Neuronales Netz
Label
Neural networks for pattern recognition, Albert Nigrin
Instantiates
Publication
Note
"A Bradford book."
Bibliography note
Includes bibliographical references (p. [399]-405) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Highlights of adaptive resonance theory -- Classifying spatial patterns -- Classifying temporal patterns -- Multilayer networks and the use of attention -- Representing synonyms -- Specific architectures that use presynaptic inhibition -- Conclusion -- A. Feedforward circuits for normalization and noise suppression -- B. Network Equations used in the simulations of chapter 3 -- C. Network equations used in the simulations of chapter 4
Dimensions
24 cm
Extent
xvii, 413 pages
Isbn
9780262140546
Lccn
93010027
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)27768477
  • (OCoLC)ocm27768477
Label
Neural networks for pattern recognition, Albert Nigrin
Publication
Note
"A Bradford book."
Bibliography note
Includes bibliographical references (p. [399]-405) and index
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Highlights of adaptive resonance theory -- Classifying spatial patterns -- Classifying temporal patterns -- Multilayer networks and the use of attention -- Representing synonyms -- Specific architectures that use presynaptic inhibition -- Conclusion -- A. Feedforward circuits for normalization and noise suppression -- B. Network Equations used in the simulations of chapter 3 -- C. Network equations used in the simulations of chapter 4
Dimensions
24 cm
Extent
xvii, 413 pages
Isbn
9780262140546
Lccn
93010027
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)27768477
  • (OCoLC)ocm27768477

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