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

Zhang, Ling; Zhang, Bo

 
9780124103870: Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing
Couverture rigide
ISBN 10 : 0124103871 ISBN 13 : 9780124103870
Editeur : Morgan Kaufmann Publishers In, 2014

Synopsis

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.

    Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos des auteurs

    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.

    Professor Bo Zhang is currently with the Computer Science and Technology Department at Tsinghua University in Beijing, China, He is a Fellow of Chinese Academy of Sciences. His main research interests include artificial intelligence, robotics, intelligent control and pattern recognition. He has published over 150 papers and 3 monographs in these fields.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Morgan Kaufmann Publishers In
    Date d'édition
    2014
    Langue
    anglais
    ISBN 10 
    0124103871
    ISBN 13 
    9780124103870
    Reliure
    Relié
    Nombre de pages
    396
    Coordonnées du fabricant
    non disponible
    Personne responsable
    Buchpark GmbH
    gpsr@buchpark.de

    Krügerweg 1
    Trebbin
    Brandenburg
    14959
    Allemagne

    Autres éditions populaires du même titre

    9780128103098: Quotient Space Based Problem Solving: A Theoretical Foundation of Granular Computing

    Edition présentée

    ISBN 10 :  0128103094 ISBN 13 :  9780128103098
    Editeur : Morgan Kaufmann Publishers In, 2017
    Couverture souple