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Titlebook: Soft Computing; New Trends and Appli Luigi Fortuna,Gianguido Rizzotto,Riccardo Caponett Textbook 2001 Springer-Verlag London 2001 algorithm

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發(fā)表于 2025-3-21 16:35:22 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Soft Computing
副標(biāo)題New Trends and Appli
編輯Luigi Fortuna,Gianguido Rizzotto,Riccardo Caponett
視頻videohttp://file.papertrans.cn/871/870407/870407.mp4
概述MATERIAL ORIGINALLY AVAILABLE ON CD-ROM NOW AVAILABLE FROM www..The next generation of control and signal processing engineers need a text book from which to learn.Textbook is co-written by practising
叢書名稱Advanced Textbooks in Control and Signal Processing
圖書封面Titlebook: Soft Computing; New Trends and Appli Luigi Fortuna,Gianguido Rizzotto,Riccardo Caponett Textbook 2001 Springer-Verlag London 2001 algorithm
描述In the last decade new artificial intelligence methods for the modelling and control of complex systems, namely neural networks, fuzzy logic and probabilistic reasoning have drawn the interest of researchers and engineers. Recently, the advantages achievable by using combinations of these methods, which have independent origin and evolution, have been pointed out, generating a new paradigm which is now termed "soft-computing". This new methodology subsumes the capabilities of neural networks for modelling non-linear systems and for solving classification problems, the power of fuzzy-logic to represent approximate or heuristic reasoning and the large capabilities of evolutionary computation for problem optimisation. The book presents a clear understanding of a new type of computation system, the cellular neural network (CNN), which has been successfully applied to the solution of many heavy computation problems, mainly in the fields of image processing and complex partial differential equations. CNNs‘ computation-based systems represent new opportunities for improving the soft-computation toolbox. The application of soft computing to complex systems and in particular to chaotic syst
出版日期Textbook 2001
關(guān)鍵詞algorithms; artificial intelligence; artificial neural network; computer-aided design (CAD); dynamical s
版次1
doihttps://doi.org/10.1007/978-1-4471-0357-8
isbn_softcover978-1-85233-308-9
isbn_ebook978-1-4471-0357-8Series ISSN 1439-2232 Series E-ISSN 2510-3814
issn_series 1439-2232
copyrightSpringer-Verlag London 2001
The information of publication is updating

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Advanced Textbooks in Control and Signal Processinghttp://image.papertrans.cn/s/image/870407.jpg
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Artificial Neural Networks,As has been seen previously, fuzzy logic arose from the attempt to . the imprecise and incomplete way of treating information that is typical of the .. Another attempt in this direction is represented by ., which were born as neural structure models of the brain but are currently used as . for . and . non-linear functions.
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Cellular Neural Networks,. (CNN), first formulated by L.O. Chua, made their appearance in 1988 [1].
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Neuro-fuzzy Networks,One of the most important research themes, in the sense of intelligent processing techniques hybridization, is the . approach. The birth of this kind of system is mostly connected with the attempt to unify the advantages of neural and fuzzy techniques using one . only, often referred to as . (FNN).
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