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Titlebook: Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing; An Evolutionary Appr Patricia Melin,Oscar Castillo Book 2005 Sprin

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发表于 2025-3-21 16:34:14 | 显示全部楼层 |阅读模式
书目名称Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
副标题An Evolutionary Appr
编辑Patricia Melin,Oscar Castillo
视频video
概述Describes the use of soft computing techniques for achieving pattern recognition in real-world applications.Shows results of the application of hybrid intelligent systems to real-world problems of fac
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing; An Evolutionary Appr Patricia Melin,Oscar Castillo Book 2005 Sprin
描述.This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence..
出版日期Book 2005
关键词algorithm; algorithms; architecture; artificial intelligence; complexity; computer; computer vision; fuzzy;
版次1
doihttps://doi.org/10.1007/b97585
isbn_softcover978-3-642-06325-1
isbn_ebook978-3-540-32378-5Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2005
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发表于 2025-3-22 00:14:49 | 显示全部楼层
Book 2005genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition syst
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Intuitionistic and Type-2 Fuzzy Logic,can also be considered an extension of type-1 fuzzy sets in the sense that intuitionistic fuzzy sets not only use the membership function, but also a non-membership function to represent the uncertainty of belonging to a fuzzy set.
发表于 2025-3-22 11:41:37 | 显示全部楼层
Supervised Learning Neural Networks,gorithms. Third, we give a brief review of the radial basis neural networks. Finally, we end the chapter with a description of the adaptive neuro-fuzzy inference system (ANFIS) methodology. We consider this material necessary to understand the new methods for pattern recognition that will be presented in the final chapters of this book.
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1434-9922 of hybrid intelligent systems to real-world problems of fac.This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniq
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Clustering with Intelligent Techniques, real-world applications there is very often no clear boundary between clusters so that fuzzy clustering is often a good alternative to use. Membership degrees between zero and one are used in fuzzy clustering instead of crisp assignments of the data to clusters.
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