| 书目名称 | Nature-Inspired Design of Hybrid Intelligent Systems |
| 编辑 | Patricia Melin,Oscar Castillo,Janusz Kacprzyk |
| 视频video | |
| 概述 | Presents applications in a wide range of areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems.Includes papers on diverse as |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic indiverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design an |
| 出版日期 | Book 2017 |
| 关键词 | Computational Intelligence; Nature-Inspired Optimization; Meta-Heuristics; Pattern Recognition; Time Ser |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-47054-2 |
| isbn_softcover | 978-3-319-83650-8 |
| isbn_ebook | 978-3-319-47054-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing AG 2017 |
发表于 2025-3-21 17:35:39
