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Rough-Neural Computing: Techniques for Computing with Words (Cognitive Technologies)

Rough-Neural Computing: Techniques for Computing with Words (Cognitive Technologies)

Rough-Neural Computing: Techniques for Computing with Words (Cognitive
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Rough-Neural Computing: Techniques for Computing with Words (Cognitive Technologies) Paperback - 2012

by Pal, Sankar Kumar

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Springer, 2012. Paperback. New. 764 pages. 9.25x6.10x1.73 inches.
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Details

  • Title Rough-Neural Computing: Techniques for Computing with Words (Cognitive Technologies)
  • Author Pal, Sankar Kumar
  • Binding Paperback
  • Condition New
  • Pages 736
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2012
  • Bookseller's Inventory # x-364262328X
  • ISBN 9783642623288 / 364262328X
  • Weight 2.32 lbs (1.05 kg)
  • Dimensions 9.21 x 6.14 x 1.52 in (23.39 x 15.60 x 3.86 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 005.131
  • Quantity available 2

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Reader reviews for Rough-Neural Computing: Techniques for Computing with Words (Cognitive Technologies)

From the publisher

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

From the rear cover

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising attempts to solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neurocomputing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

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