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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

2005-03-08 Computers
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Release : 2005-03-08
Genre : Computers
Kind : eBook
Book Rating : 218/5 ( reviews)

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Book Synopsis Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing by : Patricia Melin

Download or read book Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing written by Patricia Melin. This book was released on 2005-03-08. Available in PDF, EPUB and Kindle. Book excerpt: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Soft Computing for Hybrid Intelligent Systems

2008-08-25 Computers
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Release : 2008-08-25
Genre : Computers
Kind : eBook
Book Rating : 111/5 ( reviews)

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Book Synopsis Soft Computing for Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Soft Computing for Hybrid Intelligent Systems written by Oscar Castillo. This book was released on 2008-08-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hybrid Intelligent Systems

2007-07-23 Computers
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Release : 2007-07-23
Genre : Computers
Kind : eBook
Book Rating : 213/5 ( reviews)

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Book Synopsis Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Hybrid Intelligent Systems written by Oscar Castillo. This book was released on 2007-07-23. Available in PDF, EPUB and Kindle. Book excerpt: This volume offers a general view of recent conceptual developments of Soft Computing (SC). It presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods. The edited volume covers a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

2009-09-30 Computers
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Release : 2009-09-30
Genre : Computers
Kind : eBook
Book Rating : 154/5 ( reviews)

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Book Synopsis Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition by : Patricia Melin

Download or read book Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition written by Patricia Melin. This book was released on 2009-09-30. Available in PDF, EPUB and Kindle. Book excerpt: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

2020-11-06 Technology & Engineering
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Release : 2020-11-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 282/5 ( reviews)

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Book Synopsis Recent Advances of Hybrid Intelligent Systems Based on Soft Computing by : Patricia Melin

Download or read book Recent Advances of Hybrid Intelligent Systems Based on Soft Computing written by Patricia Melin. This book was released on 2020-11-06. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in 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. 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 are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describes diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. 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, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.

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