Bio Inspired Hybrid Intelligent Systems For Image Analysis And Pattern Recognition

Author : Patricia Melin,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 51,7 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.

Author : Patricia Melin,Witold Pedrycz
Publisher : Springer
Page : 263 pages
File Size : 47,8 Mb
Release : 2010-04-30
Category : Computers
ISBN : 364204526X

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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.

Author : Patricia Melin,Witold Pedrycz
Publisher : Springer
Page : 456 pages
File Size : 47,7 Mb
Release : 2010-09-30
Category : Technology & Engineering
ISBN : 9783642151118

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Soft Computing for Recognition based on Biometrics by Patricia Melin,Witold Pedrycz Pdf

We describe in this book, bio-inspired models and applications of hybrid intel- gent systems using soft computing techniques for image analysis and pattern r- ognition based on biometrics and other information sources. 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 classification methods and applications, which are basically papers that propose new models for classification to solve general pr- lems and applications. The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorithms of bio-inspired methods, like neural networks and evolutionary algorithms. The fifth part contains papers on computer vision applications of soft computing methods. In the part of classification methods and applications there are 5 papers that - scribe different contributions on fuzzy logic and bio-inspired models with appli- tion in classification for medical images and other data.

Author : Anonim
Publisher : Unknown
Page : 470 pages
File Size : 55,7 Mb
Release : 2011-04-11
Category : Electronic
ISBN : 3642151124

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Soft Computing for Recognition Based on Biometrics by Anonim Pdf

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 637 pages
File Size : 51,6 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.

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer
Page : 572 pages
File Size : 52,9 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.

Author : Patricia Melin,Oscar Castillo
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 41,9 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.

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Publisher : Springer
Page : 721 pages
File Size : 41,5 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.

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer Nature
Page : 792 pages
File Size : 48,8 Mb
Release : 2020-02-27
Category : Technology & Engineering
ISBN : 9783030354459

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Author : Soumya Ranjan Nayak,Janmenjoy Nayak,Khan Muhammad,Yeliz Karaca
Publisher : Elsevier
Page : 320 pages
File Size : 53,5 Mb
Release : 2024-06-14
Category : Computers
ISBN : 9780443184697

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Intelligent Fractal-Based Image Analysis by Soumya Ranjan Nayak,Janmenjoy Nayak,Khan Muhammad,Yeliz Karaca Pdf

Fractals are infinite, complex patterns used in modeling physical and dynamic systems. Fractal theory research has increased across different fields of applications including engineering science, health science, and social science. Recent literature shows the vital role fractals play in digital image analysis, specifically in biomedical image processing. Fractal graphics is an interdisciplinary field that deals with how computers can be used to gain high-level understanding from digital images. Integrating artificial intelligence with fractal characteristics has resulted in new interdisciplinary research in the fields of pattern recognition and image processing analysis. Intelligent Fractal-Based Image Analysis: Application in Pattern Recognition and Machine Vision provides insights into the current strengths and weaknesses of different applications as well as research findings on fractal graphics in engineering and science applications. The book aims to improve the exchange of ideas and coherence between various core computing methods and highlight the relevance of related application areas for advanced as well as novice-user application. The book presents an in-depth look at core concepts, methodological aspects, and advanced feature opportunities, focusing on major real time applications in engineering science and health science. The book will appeal to researchers, data scientists, industry professionals, and graduate students in the fields of fractal graphics and its related applications. Investigates advanced fractal theories spanning neural networks, fuzzy logic, machine learning, deep learning, and hybrid intelligent systems in solving pattern recognition problems Explores the application of fractal theories to a wide range of medical image processing modalities Presents case studies that illustrate the application and integration of fractal theories into intelligent computing in the resolution of important pattern recognition and machine vision problems

Author : Siddhartha Bhattacharyya,Anirban Mukherjee,Indrajit Pan,Paramartha Dutta,Arup Kumar Bhaumik
Publisher : CRC Press
Page : 393 pages
File Size : 44,9 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9781498769372

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Hybrid Intelligent Techniques for Pattern Analysis and Understanding by Siddhartha Bhattacharyya,Anirban Mukherjee,Indrajit Pan,Paramartha Dutta,Arup Kumar Bhaumik Pdf

Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis.

Author : Oscar Castillo,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 49,8 Mb
Release : 2009-10-09
Category : Mathematics
ISBN : 9783642045134

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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control by Oscar Castillo,Witold Pedrycz Pdf

We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. 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. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.

Author : Angelov Plamen Parvanov
Publisher : World Scientific
Page : 964 pages
File Size : 50,7 Mb
Release : 2016-03-18
Category : Computers
ISBN : 9789814675024

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Handbook On Computational Intelligence (In 2 Volumes) by Angelov Plamen Parvanov Pdf

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.

Author : Leandro dos Santos Coelho
Publisher : Springer
Page : 211 pages
File Size : 50,9 Mb
Release : 2009-11-23
Category : Computers
ISBN : 9783642051654

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Multi-Objective Swarm Intelligent Systems by Leandro dos Santos Coelho Pdf

This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.

Author : Patricia Melin,Oscar Castillo
Publisher : Springer
Page : 344 pages
File Size : 44,7 Mb
Release : 2012-12-14
Category : Technology & Engineering
ISBN : 9783642353239

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Soft Computing Applications in Optimization, Control, and Recognition by Patricia Melin,Oscar Castillo Pdf

Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.