| 书目名称 | Hybrid Intelligent Systems | | 副标题 | Analysis and Design | | 编辑 | Oscar Castillo,Patricia Melin,Witold Pedrycz | | 视频video | | | 概述 | Presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods | | 丛书名称 | Studies in Fuzziness and Soft Computing | | 图书封面 |  | | 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 | | 关键词 | Chaos; Hybrid Intelligent Systems; Navigation; Soft Computing; algorithms; autonom; calculus; fuzzy control | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-37421-3 | | isbn_softcover | 978-3-642-07223-9 | | isbn_ebook | 978-3-540-37421-3Series ISSN 1434-9922 Series E-ISSN 1860-0808 | | issn_series | 1434-9922 | | copyright | Springer-Verlag Berlin Heidelberg 2007 |
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发表于 2025-3-21 18:45:21
