Pal Rough-Neural Computing

Rough-Neural Computing

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Techniques for Computing with Words

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Beschreibung

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.


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.

 


Unique text and reference book for graduate students in Computer Science and for researchers and practitioners in industry and R&D laboratories Includes supplementary material: sn.pub/extras

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.



Autor*in

Sankar Kumar Pal

Themen in »Rough-Neural Computing«

Fuzzy Rough sets algorithm calculus cognition computer vision computing with words evolutionary computing fuzzy sets genetic algorithms image processing pattern recognition perception petri net rough-neuro computing

Stimmen zu »Rough-Neural Computing«

From the reviews:

"This book (actually edited volume) presents recent advances in the area of rough neural computer from a wide konge (sic) of perspectives. … The book contains a few introductory articles suitable to understand what the field of rough several computing is about." (Jan Friso Groote, Zentralblatt MATH, Vol. 1040(9), 2004)


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Details

ISBN: 9783642188596
Verlag: Springer Berlin
Erscheinung: 06.12.2012

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