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Quotient Space Based Problem Solving

A Theoretical Foundation of Granular Computing
BuchGebunden
396 Seiten
Englisch
Elsevier Scienceerschienen am13.02.2014
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. This book includes coverage of planning, heuristic search and coverage of strictly mathematical models.mehr
Verfügbare Formate
BuchGebunden
EUR126,50
E-BookEPUBDRM AdobeE-Book
EUR97,95

Produkt

KlappentextProvides 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. This book includes coverage of planning, heuristic search and coverage of strictly mathematical models.
Details
ISBN/GTIN978-0-12-410387-0
ProduktartBuch
EinbandartGebunden
FormatUngenäht / geklebt
Erscheinungsjahr2014
Erscheinungsdatum13.02.2014
Seiten396 Seiten
SpracheEnglisch
MasseBreite 195 mm, Höhe 238 mm, Dicke 22 mm
Gewicht955 g
Artikel-Nr.30520354

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1 Problem Representation Chapter 2 Hierarchy and Multi-granular Computing Chapter 3 Information Synthesis in Multi-granular Computing Chapter 4 Reasoning in Multi-granular Computing Chapter 5 Automatic Spatial Planning Chapter 6 Statistical Heuristic Search Chapter 7 the Expansion of Quotient Space Theory Addenda A: Some Concepts and Properties of Point Set Topology Addenda B: Some Concepts and Properties of Integral and Statistical Inferencemehr

Autor

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.