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Titlebook: Crisp and Soft Computing with Hypercubical Calculus; New Approaches to Mo Michael Zaus Book 1999 Springer-Verlag Berlin Heidelberg 1999 Act

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書目名稱Crisp and Soft Computing with Hypercubical Calculus
副標(biāo)題New Approaches to Mo
編輯Michael Zaus
視頻videohttp://file.papertrans.cn/240/239881/239881.mp4
概述The first book that presents the history of FCMs, methods of constructing or deriving FCMs, and illustrations of applications of FCMs, in a systematic overview
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Crisp and Soft Computing with Hypercubical Calculus; New Approaches to Mo Michael Zaus Book 1999 Springer-Verlag Berlin Heidelberg 1999 Act
描述In Part I, the impact of an integro-differential operator on parity logic engines (PLEs) as a tool for scientific modeling from scratch is presented. Part II outlines the fuzzy structural modeling approach for building new linear and nonlinear dynamical causal forecasting systems in terms of fuzzy cognitive maps (FCMs). Part III introduces the new type of autogenetic algorithms (AGAs) to the field of evolutionary computing. Altogether, these PLEs, FCMs, and AGAs may serve as conceptual and computational power tools.
出版日期Book 1999
關(guān)鍵詞Action; Analysis; Cognitive science; Perception; Scratch; algorithms; evolution; evolutionary computation; f
版次1
doihttps://doi.org/10.1007/978-3-7908-1879-6
isbn_softcover978-3-662-11380-6
isbn_ebook978-3-7908-1879-6Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 1999
The information of publication is updating

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Transdisciplinary Perspectives of Parity Logicy best achieved by outlining the scope of parity integration, because it provides simultaneously a variety of facts, ideas, insights, examples, and objectives which may animate fruitful discussions of parity logic among readers. So, what exactly is the scope of parity integration, what can we expect
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Crisp and Soft Computing with Hypercubical CalculusNew Approaches to Mo
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Mathematical Foundations of Parity Logic the binary scalar integral ⊕.=1 .. and the binary vector integral ⊕.=1 .. for vectors . ∈ ... We present these mathematical foundations in standard computer science nomenclature, but we will refer also to the nomenclature of APL, because the binary vector integral in section 2.3 has its origin in A
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Binary Signal Analysis in Parity Logicibed by Papez’ neural integration puzzle regarding the limbic system of human and animal brains ([LED92]). That neurons . signals is a well-known fact, but less evident is the way in which this integration takes place, what the integration mechanism is like, how we can backtrack a neuronal response
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