Rough-Neural Computing [electronic resource] : Techniques for Computing with Words /

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.

Bibliographic Details

Main Authors:	Pal, Sankar K. editor., Polkowski, Lech. editor., Skowron, Andrzej. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004
Subjects:	Computer science., Mathematical logic., Artificial intelligence., Image processing., Pattern recognition., Applied mathematics., Engineering mathematics., Computer Science., Artificial Intelligence (incl. Robotics)., Pattern Recognition., Information Systems Applications (incl. Internet)., Image Processing and Computer Vision., Mathematical Logic and Formal Languages., Appl.Mathematics/Computational Methods of Engineering.,
Online Access:	http://dx.doi.org/10.1007/978-3-642-18859-6
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