Quotient Space Based Problem Solving - A Theoretical Foundation of Granular Computing

Quotient Space Based Problem Solving - A Theoretical Foundation of Granular Computing

von: Ling Zhang, Bo Zhang

Elsevier Reference Monographs, 2014

ISBN: 9780124104433 , 397 Seiten

Format: PDF, ePUB, OL

Kopierschutz: DRM

Windows PC,Mac OSX für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's Apple iPod touch, iPhone und Android Smartphones Online-Lesen für: Windows PC,Mac OSX,Linux

Preis: 97,95 EUR

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Quotient Space Based Problem Solving - A Theoretical Foundation of Granular Computing


 

Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search.

      • Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing
      • Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence.
      • Provides many applications and examples in the engineering and computer science area.
      • Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models.


      Professor Ling Zhang is currently with the Department of Computer Science at Anhui University in Hefei, China. His main interests are artificial intelligence, machine learning, neural networks, genetic algorithms and computational intelligence.