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Titlebook: Methodologies for Intelligent Systems; 8th International Sy Zbigniew W. Raś,Maria Zemankova Conference proceedings 1994 Springer-Verlag Ber

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书目名称Methodologies for Intelligent Systems
副标题8th International Sy
编辑Zbigniew W. Raś,Maria Zemankova
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Methodologies for Intelligent Systems; 8th International Sy Zbigniew W. Raś,Maria Zemankova Conference proceedings 1994 Springer-Verlag Ber
描述This volume contains the revised versions of the papers presented at the Eighth International Symposium on Methodologies for Intelligent Systems (ISMIS ‘94), held in Charlotte, North Carolina, USA in October 1994..Besides four invited contributions by renowned researchers on key topics, there are 56 full papers carefully selected from more than 120 submissions. The book presents the state of the art for methodologies for intelligent systems; the papers are organized in sections on approximate reasoning, evolutionary computation, intelligent information systems, knowledge representation, methodologies, learning and adaptive systems, and logic for AI.
出版日期Conference proceedings 1994
关键词artificial intelligence; evolution; evolutionary computation; information system; intelligent systems; kn
版次1
doihttps://doi.org/10.1007/3-540-58495-1
isbn_softcover978-3-540-58495-7
isbn_ebook978-3-540-49010-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1994
The information of publication is updating

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Conference proceedings 1994S ‘94), held in Charlotte, North Carolina, USA in October 1994..Besides four invited contributions by renowned researchers on key topics, there are 56 full papers carefully selected from more than 120 submissions. The book presents the state of the art for methodologies for intelligent systems; the
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Distributed Earth science validation centers for Mission to Planet Earth, centers throughout the world, this paper describes a highly distributed architecture for the management, processing, and quality assurance of data that complements current high-volume, reliable NASA archives.
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Formal models of selection in genetic algorithms,tion gap equal to or less than one, is investigated in order to assess their ability to let different species emerge and coexist; finally, the average asymptotic behaviour of the population is determined. Experimental results confirm both bevahiours previously reported in the literature and the prediction of the new model.
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Knowledge discovery in databases: A rule-based attribute-oriented approach,hy to a rule-based concept hierarchy, which enhances greatly its representation power. An efficient rule-based attribute-oriented induction algorithm is developed to facilitate learning with a rule-based concept graph. An information loss problem which is special to rule-based induction is described together with a solution suggested.
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Logic systems for approximate reasoning: via rough sets and topology,nd modalic considerations seems indicate that the proposed approach must have captured some intrinsic meaning of the approximate reasoning. Neighborhood Systems are very general approximation, so Near Logic can be regarded as a small step toward the formalization what Hao Wang called ”approximate proof” three decades ago.
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