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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