
Quotient Space Based Problem Solving
A Theoretical Foundation of Granular Computing
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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.
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.
Produktbeschreibung
- Verlag: Morgan Kaufmann
- Artikelnr. des Verlages: C2012-0-06873-1
- Seitenzahl: 396
- Erscheinungstermin: 25. Februar 2014
- Englisch
- Abmessung: 238mm x 195mm x 22mm
- Gewicht: 914g
- ISBN-13: 9780124103870
- ISBN-10: 0124103871
- Artikelnr.: 40028844
Herstellerkennzeichnung
Libri GmbH
Europaallee 1
36244 Bad Hersfeld
gpsr@libri.de
"The entire book is devoted to formalize and automate...a theory of granular computing, which is essentially based on quotient spaces." --Zentralblatt MATH
"... aimed primarily at graduate students (and academicians) with strong mathematical maturity and an interest in mathematical modeling in the fields around artificial intelligence (AI)." --Computing Reviews, November 2014
"... aimed primarily at graduate students (and academicians) with strong mathematical maturity and an interest in mathematical modeling in the fields around artificial intelligence (AI)." --Computing Reviews, November 2014
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