Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks academic/industrial/NASA/defense technical interchange and tutorials : international conferences on virtual intelligence/dynamic neural networks--neural networks, fuzzy systems, evolutionary systems, and virtual reality/pulse coupled neural networks, 1998 by Workshop on Virtual Intelligence/Dynamic Neural Networks (9th 1998 Stockholm, Sweden)

Cover of: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks | Workshop on Virtual Intelligence/Dynamic Neural Networks (9th 1998 Stockholm, Sweden)

Published by SPIE in Bellingham, Wash .

Written in English

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Subjects:

  • Artificial intelligence -- Congresses.,
  • Artificial intelligence -- Industrial applications -- Congresses.,
  • Fuzzy systems -- Congresses.,
  • Neural networks (Computer science) -- Congresses.,
  • Virtual reality -- Congresses.

Edition Notes

Includes bibliographical references and index.

Book details

Other titlesVirtual intelligence/dynamic neural networks
StatementThomas Lindblad, Mary Lou Padgett, Jason Kinser, editors ; sponsored by NASA--National Aeronautics and Space Administration ; cooperating organizations, SPIE--the International Society for Optical Engineering, [and] IEEE Industrial Applications Society.
GenreCongresses.
SeriesSPIE proceedings series,, v. 3728, Proceedings of SPIE--the International Society for Optical Engineering ;, v. 3728.
ContributionsLindblad, Thomas., Padgett, Mary Lou., Kinser, Jason M., 1962-, United States. National Aeronautics and Space Administration, Society of Photo-optical Instrumentation Engineers., IEEE Industry Applications Society.
Classifications
LC ClassificationsQ334 .W674 1998
The Physical Object
Paginationxi, 598 p. :
Number of Pages598
ID Numbers
Open LibraryOL6896144M
ISBN 100819432024
LC Control Number00697757
OCLC/WorldCa41264774

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An improved Artificial Neural Network (ANN) is disclosed that comprises a conventional ANN, a database block, and a compare and update circuit. The conventional ANN is formed by a plurality of neurons, each neuron having a prototype memory dedicated to store a prototype and a distance evaluator to evaluate the distance between the input pattern presented to the ANN and the prototype stored Cited by: 4.

Abstract. A Pulse Coupled Neural Network (PCNN) is proposed as a numerical model of cat visual cortex, and it has been applied to the engineering fields especially in an image processing, e.g., segmentation, edge enhancement, and so on.

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