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Rough-Neural Computing : Techniques for Computing with Words

Rough-Neural Computing : Techniques for Computing with Words

Rough-Neural Computing : Techniques for Computing with Words Paperback - 2012

by Sankar Kumar Pal (Editor); Lech Polkowski (Editor)

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; 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 algorithm
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Details

  • Title Rough-Neural Computing : Techniques for Computing with Words
  • Author Sankar Kumar Pal (Editor); Lech Polkowski (Editor)
  • Binding Paperback
  • Condition New
  • Pages 736
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2012-10-23
  • Bookseller's Inventory # ria9783642623288_inp
  • 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 334

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Reader reviews for Rough-Neural Computing : Techniques for Computing with Words

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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