Modular Neural Networks And Type 2 Fuzzy Systems For Pattern Recognition

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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition

Patricia Melin
Modular Neural Networks and Type 2 Fuzzy Systems for Pattern Recognition Book PDF

Author : Patricia Melin
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 52,5 Mb
Release : 2011-10-18
Category : Computers
ISBN : 9783642241383

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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition by Patricia Melin Pdf

This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area.

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Patricia Melin,Oscar Castillo
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing Book PDF

Author : Patricia Melin,Oscar Castillo
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 47,8 Mb
Release : 2005-03-08
Category : Computers
ISBN : 3540241213

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing by Patricia Melin,Oscar Castillo Pdf

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.

Recent Advances in Interval Type-2 Fuzzy Systems

Oscar Castillo,Patricia Melin
Recent Advances in Interval Type 2 Fuzzy Systems Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 93 pages
File Size : 47,5 Mb
Release : 2012-04-23
Category : Technology & Engineering
ISBN : 9783642289569

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Recent Advances in Interval Type-2 Fuzzy Systems by Oscar Castillo,Patricia Melin Pdf

This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition

Patricia Melin
Modular Neural Networks and Type 2 Fuzzy Systems for Pattern Recognition Book PDF

Author : Patricia Melin
Publisher : Springer
Page : 214 pages
File Size : 51,5 Mb
Release : 2011-10-25
Category : Technology & Engineering
ISBN : 9783642241390

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Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition by Patricia Melin Pdf

This book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area.

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

Patricia Melin,Witold Pedrycz
Bio Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition Book PDF

Author : Patricia Melin,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 43,9 Mb
Release : 2009-09-30
Category : Computers
ISBN : 9783642045158

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition by Patricia Melin,Witold Pedrycz Pdf

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.

Type-2 Fuzzy Logic: Theory and Applications

Oscar Castillo,Patricia Melin
Type 2 Fuzzy Logic Theory and Applications Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 42,6 Mb
Release : 2008-02-20
Category : Mathematics
ISBN : 9783540762836

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Type-2 Fuzzy Logic: Theory and Applications by Oscar Castillo,Patricia Melin Pdf

This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.

Recent Advances on Hybrid Intelligent Systems

Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Recent Advances on Hybrid Intelligent Systems Book PDF

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer
Page : 558 pages
File Size : 45,6 Mb
Release : 2012-09-14
Category : Technology & Engineering
ISBN : 9783642330216

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Recent Advances on Hybrid Intelligent Systems by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

Daniela Sanchez,Patricia Melin
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation Book PDF

Author : Daniela Sanchez,Patricia Melin
Publisher : Springer
Page : 101 pages
File Size : 49,8 Mb
Release : 2016-02-23
Category : Technology & Engineering
ISBN : 9783319288628

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Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation by Daniela Sanchez,Patricia Melin Pdf

In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in this research work to improve results. These techniques are chosen because in other works have demonstrated to be a good option, and in the case of MNNs and HGAs, these techniques allow to improve the results obtained than with their conventional versions; respectively artificial neural networks and genetic algorithms.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Design of Intelligent Systems Based on Fuzzy Logic Neural Networks and Nature Inspired Optimization Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 637 pages
File Size : 45,8 Mb
Release : 2015-06-12
Category : Computers
ISBN : 9783319177472

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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and 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 organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Neuro-fuzzy Pattern Recognition

Horst Bunke,Abraham Kandel
Neuro fuzzy Pattern Recognition Book PDF

Author : Horst Bunke,Abraham Kandel
Publisher : World Scientific
Page : 276 pages
File Size : 55,8 Mb
Release : 2000
Category : Computers
ISBN : 9789810244187

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Neuro-fuzzy Pattern Recognition by Horst Bunke,Abraham Kandel Pdf

Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.

MICAI 2009: Advances in Artificial Intelligence

Arturo Hernández Aguirre,Raúl Monroy Borja,Carlos Albetro Reyes García
MICAI 2009 Advances in Artificial Intelligence Book PDF

Author : Arturo Hernández Aguirre,Raúl Monroy Borja,Carlos Albetro Reyes García
Publisher : Springer Science & Business Media
Page : 759 pages
File Size : 47,9 Mb
Release : 2009-10-26
Category : Computers
ISBN : 9783642052576

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MICAI 2009: Advances in Artificial Intelligence by Arturo Hernández Aguirre,Raúl Monroy Borja,Carlos Albetro Reyes García Pdf

This book constitutes the refereed proceedings of the 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, held in Guanajuato, Mexico, in November 2009. The 63 revised full papers presented together with one invited talk were carefully reviewed and selected from 215 submissions. The papers are organized in topical sections on logic and reasoning, ontologies, knowledge management and knowledge-based systems, uncertainty and probabilistic reasoning, natural language processing, data mining, machine learning, pattern recognition, computer vision and image processing, robotics, planning and scheduling, fuzzy logic, neural networks, intelligent tutoring systems, bioinformatics and medical applications, hybrid intelligent systems and evolutionary algorithms.

Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Recent Advances on Hybrid Approaches for Designing Intelligent Systems Book PDF

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Publisher : Springer
Page : 702 pages
File Size : 52,9 Mb
Release : 2014-03-26
Category : Technology & Engineering
ISBN : 9783319051703

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems by Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk Pdf

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, 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 type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Soft Computing for Hybrid Intelligent Systems

Oscar Castillo,Patricia Melin,Witold Pedrycz
Soft Computing for Hybrid Intelligent Systems Book PDF

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz
Publisher : Springer
Page : 448 pages
File Size : 47,5 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9783540708124

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Soft Computing for Hybrid Intelligent Systems by Oscar Castillo,Patricia Melin,Witold Pedrycz Pdf

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 in Control, Pattern Recognition and Medicine

Oscar Castillo,Patricia Melin
Hybrid Intelligent Systems in Control Pattern Recognition and Medicine Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 354 pages
File Size : 53,6 Mb
Release : 2019-11-23
Category : Technology & Engineering
ISBN : 9783030341350

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine by Oscar Castillo,Patricia Melin Pdf

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.

Interval Type-3 Fuzzy Systems: Theory and Design

Oscar Castillo,Juan R. Castro,Patricia Melin
Interval Type 3 Fuzzy Systems Theory and Design Book PDF

Author : Oscar Castillo,Juan R. Castro,Patricia Melin
Publisher : Springer Nature
Page : 109 pages
File Size : 42,7 Mb
Release : 2022-03-13
Category : Technology & Engineering
ISBN : 9783030965150

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Interval Type-3 Fuzzy Systems: Theory and Design by Oscar Castillo,Juan R. Castro,Patricia Melin Pdf

This book briefly reviews the basic concepts of type-2 fuzzy systems and then describes the proposed definitions for interval type-3 fuzzy sets and relations, also interval type-3 inference and systems. The use of type-2 fuzzy systems has become widespread in the leading economy sectors, especially in industrial and application areas, such as services, health, defense, and so on. However, recently the use of interval type-3 fuzzy systems has been receiving increasing attention and some successful applications have been developed in the last year. These issues were taken into consideration for this book, as we did realize that there was a need to offer the main theoretical concepts of type-3 fuzzy logic, as well as methods to design, develop and implement the type-3 fuzzy systems. A review of basic concepts and their use in the design and implementation of interval type-3 fuzzy systems, which are relatively new models of uncertainty and imprecision, are presented. The main focus of this work is based on the basic reasons of the need for interval type-3 fuzzy systems in different areas of application. In addition, we describe methods for designing interval type-3 fuzzy systems and illustrate this with some examples and simulations.