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Titlebook: Hybrid Intelligent Systems; Analysis and Design Oscar Castillo,Patricia Melin,Witold Pedrycz Book 2007 Springer-Verlag Berlin Heidelberg 20

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書目名稱Hybrid Intelligent Systems
副標題Analysis and Design
編輯Oscar Castillo,Patricia Melin,Witold Pedrycz
視頻videohttp://file.papertrans.cn/431/430099/430099.mp4
概述Presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Hybrid Intelligent Systems; Analysis and Design Oscar Castillo,Patricia Melin,Witold Pedrycz Book 2007 Springer-Verlag Berlin Heidelberg 20
描述We describe in this book, new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid int- ligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid int- ligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very - portant to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, - telligent control, or other application areas. This book is intended to be a major reference for scientists and en- neers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also b
出版日期Book 2007
關鍵詞Chaos; Hybrid Intelligent Systems; Navigation; Soft Computing; algorithms; autonom; calculus; fuzzy control
版次1
doihttps://doi.org/10.1007/978-3-540-37421-3
isbn_softcover978-3-642-07223-9
isbn_ebook978-3-540-37421-3Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2007
The information of publication is updating

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ChapBoltzmann Machines Learning Using High Order Decimationwback in the exhaustive computational cost involved. In this context, decimation was introduced as a way to overcome this problem, as it builds a smaller network that is able to reproduce exactly the quantities required to update the weights during learning. Decimation techniques developed can only
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Mediative Fuzzy Logic: A Novel Approach for Handling Contradictory Knowledgehis fuzzy method can manage non-contradictory, doubtful, and contradictory information provided by experts, providing a mediated solution, so we called it Mediative Fuzzy Logic (MFL). We are comparing results of MFL, with IFL and traditional Fuzzy logic (FL).
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Direct and Indirect Adaptive Neural Control of Nonlinear Systemsentifier with backpropagation method of learning. Two methods of adaptive neural control with integral plus state action are applied - an indirect and a direct trajectory tracking control. The first one is the indirect Sliding Mode Control (SMC) with I-term where the SMC is resolved using states and
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