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by Oscar Castillo,Patricia Melin,Witold Pedrycz

Download Soft Computing for Hybrid Intelligent Systems (Studies in Computational Intelligence) fb2, epub

ISBN: 3540708111
Author: Oscar Castillo,Patricia Melin,Witold Pedrycz
Language: English
Publisher: Springer; 2008 edition (October 10, 2008)
Pages: 448
Category: Computer Science
Subcategory: IT
Rating: 4.6
Votes: 177
Size Fb2: 1511 kb
Size ePub: 1910 kb
Size Djvu: 1914 kb
Other formats: lrf lit mbr doc


Soft Computing (SC) consists of several intelligent computing .

Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. There are theoretical aspects as well as application papers. New methods and applications of hybrid intelligent systems using soft computing techniques are described. Studies in Computational Intelligence.

Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and . The book is organized in five main parts, which contain a group of papers around a similar subject.

Электронная книга "Soft Computing for Hybrid Intelligent Systems", Oscar Castillo, Patricia Melin, Witold Pedrycz. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Soft Computing for Hybrid Intelligent Systems" для чтения в офлайн-режиме.

for Hybrid Intelligent Systems - Studies in Computational Intelligence 154 (Paperback).

Soft Computing for Hybrid Intelligent Systems - Studies in Computational Intelligence 154 (Paperback). Paperback 448 Pages, Published: 28/10/2010. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems.

Full recovery of all data can take up to 2 weeks! So we came to the decision at this time to double the download limits for all users until the problem is completely resolved. Thanks for your understanding! Progress: 9. 7% restored. Главная Soft computing for hybrid intelligent systems. Soft computing for hybrid intelligent systems. Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz

Oscar Castillo Patricia Melin. Oscar Castillo and Patricia Melin. Introduction We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory

Oscar Castillo Patricia Melin. Soft Computing and Fractal Theory for Intelligent Manufacturing With 191 Figures and 10 Tables. Physica-Verlag A Springer-Verlag Company. Dr. Oscar Castillo Prof. Introduction We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to create powerful hybrid intelligent systems.

Soft Computing (SC) consists of several intelligent computing . Series: Studies in Computational Intelligence 154. File: PDF, 1. 0 MB. Читать онлайн.

Автор: Oscar Castillo; Patricia Melin; Witold Pedrycz Название: Soft Computing for Hybrid Intelligent . Описание: This book comprises papers on diverse aspects of soft computing and hybrid intelligent systems.

Описание: This book comprises papers on diverse aspects of soft computing and hybrid intelligent systems. There are theoretical aspects and application papers.

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.

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. Oscar Castillo, Patricia Melin, Witold Pedrycz. We describe in this book, new methods for analysis and design of hybrid intelligent systems using soft computing techniques.

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

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