The Resource VLSI-compatible implementations for artificial neural networks, by Sied Mehdi Fakhraie, Kenneth Carless Smith

VLSI-compatible implementations for artificial neural networks, by Sied Mehdi Fakhraie, Kenneth Carless Smith

Label
VLSI-compatible implementations for artificial neural networks
Title
VLSI-compatible implementations for artificial neural networks
Statement of responsibility
by Sied Mehdi Fakhraie, Kenneth Carless Smith
Creator
Contributor
Subject
Language
eng
Member of
Cataloging source
DLC
http://library.link/vocab/creatorName
Fakhraie, Sied Mehdi
Illustrations
illustrations
Index
no index present
LC call number
QA76.87
LC item number
.F34 1997
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
Smith, Kenneth C.
Series statement
Kluwer international series in engineering and computer science
Series volume
#382
http://library.link/vocab/subjectName
  • Neural networks (Computer science)
  • Integrated circuits
  • Integrated circuits
  • Neural networks (Computer science)
  • Circuitos integrados
  • Inteligencia artificial (computacao)
Label
VLSI-compatible implementations for artificial neural networks, by Sied Mehdi Fakhraie, Kenneth Carless Smith
Instantiates
Publication
Bibliography note
Includes bibliographical references 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
  • 5.
  • Design, modeling, implementation of a Synapse-MOS device
  • 6.
  • Synapse-MOS Artificial Neural Networks (SANNs)
  • 7.
  • Analog Quadratic Neural Networks (AQNNs)
  • 8.
  • Conclusion and recommendations for future work
  • Appendix A.
  • Review of nonvolatile semiconductor memory devices
  • 1.
  • Appendix B.
  • Scaling effects
  • Appendix C.
  • Performance evaluation
  • Introduction and motivation
  • 2.
  • Review of hardware-implementation techniques
  • 3.
  • Generalized Artificial Neural Networks (GANNs)
  • 4.
  • Foundations: architecture design
Dimensions
24 cm.
Extent
xxvii, 194 pages
Isbn
9780792398257
Isbn Type
(alk. paper)
Lccn
96043999
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)35657921
  • (OCoLC)ocm35657921
Label
VLSI-compatible implementations for artificial neural networks, by Sied Mehdi Fakhraie, Kenneth Carless Smith
Publication
Bibliography note
Includes bibliographical references 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
  • 5.
  • Design, modeling, implementation of a Synapse-MOS device
  • 6.
  • Synapse-MOS Artificial Neural Networks (SANNs)
  • 7.
  • Analog Quadratic Neural Networks (AQNNs)
  • 8.
  • Conclusion and recommendations for future work
  • Appendix A.
  • Review of nonvolatile semiconductor memory devices
  • 1.
  • Appendix B.
  • Scaling effects
  • Appendix C.
  • Performance evaluation
  • Introduction and motivation
  • 2.
  • Review of hardware-implementation techniques
  • 3.
  • Generalized Artificial Neural Networks (GANNs)
  • 4.
  • Foundations: architecture design
Dimensions
24 cm.
Extent
xxvii, 194 pages
Isbn
9780792398257
Isbn Type
(alk. paper)
Lccn
96043999
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
System control number
  • (OCoLC)35657921
  • (OCoLC)ocm35657921

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