| 书目名称 | Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition | | 编辑 | Patricia Melin | | 视频video | | | 概述 | Recent research on Modular Neural Networks and Type-2 Fuzzy Systems.Presents important applications to Pattern Recognition.Written by a leading expert in the field | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapter | | 出版日期 | Book 2012 | | 关键词 | Computational Intelligence; Fuzzy Systems; Modular Neural Networks; Pattern Recognition; Type-2 Fuzzy Sy | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-24139-0 | | isbn_softcover | 978-3-642-27027-7 | | isbn_ebook | 978-3-642-24139-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer Berlin Heidelberg 2012 |
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发表于 2025-3-21 18:11:32
