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Titlebook: Rough-Neural Computing; Techniques for Compu Sankar K. Pal,Lech Polkowski,Andrzej Skowron Book 2004 Springer-Verlag Berlin Heidelberg 2004

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書目名稱Rough-Neural Computing
副標(biāo)題Techniques for Compu
編輯Sankar K. Pal,Lech Polkowski,Andrzej Skowron
視頻videohttp://file.papertrans.cn/832/831936/831936.mp4
概述Unique text and reference book for graduate students in Computer Science and for researchers and practitioners in industry and R&D laboratories.Includes supplementary material:
叢書名稱Cognitive Technologies
圖書封面Titlebook: Rough-Neural Computing; Techniques for Compu Sankar K. Pal,Lech Polkowski,Andrzej Skowron Book 2004 Springer-Verlag Berlin Heidelberg 2004
描述.Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others...It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields...?.
出版日期Book 2004
關(guān)鍵詞Fuzzy; Rough sets; algorithm; calculus; cognition; computer vision; computing with words; evolutionary comp
版次1
doihttps://doi.org/10.1007/978-3-642-18859-6
isbn_softcover978-3-642-62328-8
isbn_ebook978-3-642-18859-6Series ISSN 1611-2482 Series E-ISSN 2197-6635
issn_series 1611-2482
copyrightSpringer-Verlag Berlin Heidelberg 2004
The information of publication is updating

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Rough-Neural Computing978-3-642-18859-6Series ISSN 1611-2482 Series E-ISSN 2197-6635
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Cognitive Technologieshttp://image.papertrans.cn/r/image/831936.jpg
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Toward Rough Datalog: Embedding Rough Sets in PrologThis chapter extends the principles of logic programming for.The work is based on the formalism of.[.,.,.], introduced for describing imprecise information. Its objective is to develop techniques that facilitate formal definition of imprecise concepts and reasoning about them.
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