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Titlebook: New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metah; Oscar Castillo,Patricia Melin Book 2

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發(fā)表于 2025-3-21 18:29:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metah
編輯Oscar Castillo,Patricia Melin
視頻videohttp://file.papertrans.cn/666/665620/665620.mp4
概述Presents recent developments on fuzzy logic, neural networks and optimization algorithms.Includes applications to intelligent control, robotics, pattern recognition and‘time series prediction.Presents
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metah;  Oscar Castillo,Patricia Melin Book 2
描述In this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, are presented. In addition, the above-mentioned methods are applied to areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical problems. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, th
出版日期Book 2022
關(guān)鍵詞Computational Intelligence; Fuzzy Logic; Neural Networks; Optimization Algorithms; Hybrid Intelligent Sy
版次1
doihttps://doi.org/10.1007/978-3-031-08266-5
isbn_softcover978-3-031-08268-9
isbn_ebook978-3-031-08266-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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eath of individual particles, extinction of all particles at a site and splitting of all particles at a site..We investigate the changes in the longterm behaviour of these systems, changes, which occur if we replace parameters of the evolution (as offspring distribution or site killing rate) by coll
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Harsh Gunwant,Abhisht Joshi,Moolchand Sharma,Deepak Guptaeath of individual particles, extinction of all particles at a site and splitting of all particles at a site..We investigate the changes in the longterm behaviour of these systems, changes, which occur if we replace parameters of the evolution (as offspring distribution or site killing rate) by coll
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Sergio Varela-Santos,Patricia Melineath of individual particles, extinction of all particles at a site and splitting of all particles at a site..We investigate the changes in the longterm behaviour of these systems, changes, which occur if we replace parameters of the evolution (as offspring distribution or site killing rate) by coll
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Martha Ramirez,Patricia Melineath of individual particles, extinction of all particles at a site and splitting of all particles at a site..We investigate the changes in the longterm behaviour of these systems, changes, which occur if we replace parameters of the evolution (as offspring distribution or site killing rate) by coll
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Cinthia Peraza,Patricia Ochoa,Leticia Amador,Oscar Castilloes.Includes supplementary material: .Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criter
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Norberto Castillo-García,Paula Hernández-Hernández,Edilberto Rodríguez Larkinsa commu- nication models. The analysis of these models is based on the fluctuation theory of Markov-additive processes and their discrete time analogues, Markov random walks. The workload and queue length processes, omitted from the earlier edition, are also presented. In addition, many sections hav
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