Hybrid Soft Computing Approaches

Author : Siddhartha Bhattacharyya,Paramartha Dutta,Susanta Chakraborty
Publisher : Springer
Page : 457 pages
File Size : 43,9 Mb
Release : 2015-08-21
Category : Technology & Engineering
ISBN : 9788132225447

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Hybrid Soft Computing Approaches by Siddhartha Bhattacharyya,Paramartha Dutta,Susanta Chakraborty Pdf

The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular. Typical examples include (a) Study of Economic Load Dispatch by Various Hybrid Optimization Techniques, (b) An Application of Color Magnetic Resonance Brain Image Segmentation by Para Optimus LG Activation Function, (c) Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization of 2D-3D Images for Human Face Recognition. The elaborate findings of the chapters enhance the exhibition of the hybrid soft computing paradigm in the field of intelligent computing.

Author : Robert John,Ralph Birkenhead
Publisher : Springer Science & Business Media
Page : 236 pages
File Size : 42,7 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9783790818291

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Developments in Soft Computing by Robert John,Ralph Birkenhead Pdf

Soft Computing has come of age. In particular, Artificial Neural Networks, Fuzzy Logic and Evolutionary Computing now play an important role in many domains where traditional techniques have been found wanting. As this volume confirms, hybrid solutions that combine more than one of the Soft Computing approaches are particularly successful in many problem areas. This volume contains papers presented at the International Conference on Recent Advances in Soft Computing 2000 at De Montfort University in Leicester. The contributions cover both theoretical developments and practical applications in the various areas of Soft Computing.

Author : Patricia Melin,Oscar Castillo
Publisher : Springer
Page : 0 pages
File Size : 52,6 Mb
Release : 2010-11-30
Category : Computers
ISBN : 364206325X

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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 : Deepak Gupta,Aditya Khamparia,Ashish Khanna,Oscar Castillo
Publisher : Springer Nature
Page : 165 pages
File Size : 53,6 Mb
Release : 2022-01-30
Category : Technology & Engineering
ISBN : 9783030920265

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Soft Computing for Data Analytics, Classification Model, and Control by Deepak Gupta,Aditya Khamparia,Ashish Khanna,Oscar Castillo Pdf

This book presents a set of soft computing approaches and their application in data analytics, classification model, and control. The basics of fuzzy logic implementation for advanced hybrid fuzzy driven optimization methods has been covered in the book. The various soft computing techniques, including Fuzzy Logic, Rough Sets, Neutrosophic Sets, Type-2 Fuzzy logic, Neural Networks, Generative Adversarial Networks, and Evolutionary Computation have been discussed and they are used on variety of applications including data analytics, classification model, and control. The book is divided into two thematic parts. The first thematic section covers the various soft computing approaches for text classification and data analysis, while the second section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design of hybrid algorithms for applications in data analytics, classification model, and engineering control.

Author : Anupam Shukla,Ritu Tiwari,Rahul Kala
Publisher : Springer Science & Business Media
Page : 467 pages
File Size : 54,8 Mb
Release : 2010-08-17
Category : Computers
ISBN : 9783642143434

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Towards Hybrid and Adaptive Computing by Anupam Shukla,Ritu Tiwari,Rahul Kala Pdf

Soft Computing today is a very vast field whose extent is beyond measure. This book offers a well structured presentation of the basic concepts of Artificial Neural Networks, Fuzzy Inference Systems and Evolutionary Algorithms.

Author : Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna
Publisher : Academic Press
Page : 250 pages
File Size : 52,9 Mb
Release : 2020-03-05
Category : Computers
ISBN : 9780128187005

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Hybrid Computational Intelligence by Siddhartha Bhattacharyya,Václav Snášel,Deepak Gupta,Ashish Khanna Pdf

Hybrid Computational Intelligence: Challenges and Utilities is a comprehensive resource that begins with the basics and main components of computational intelligence. It brings together many different aspects of the current research on HCI technologies, such as neural networks, support vector machines, fuzzy logic and evolutionary computation, while also covering a wide range of applications and implementation issues, from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book also explores the most widely used applications of hybrid computation as well as the history of their development. Each individual methodology provides hybrid systems with complementary reasoning and searching methods which allow the use of domain knowledge and empirical data to solve complex problems. Provides insights into the latest research trends in hybrid intelligent algorithms and architectures Focuses on the application of hybrid intelligent techniques for pattern mining and recognition, in big data analytics, and in human-computer interaction Features hybrid intelligent applications in biomedical engineering and healthcare informatics

Author : Anupam Shukla,Ritu Tiwari,Rahul Kala
Publisher : Unknown
Page : 128 pages
File Size : 47,8 Mb
Release : 2010
Category : Electronic
ISBN : 3642143458

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Towards Hybrid and Adaptive Computing by Anupam Shukla,Ritu Tiwari,Rahul Kala Pdf

Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this magnificent field are spreading at an enormous rate making it possible to build computationally intelligent systems that can do virtually anything, even after considering the hostile practical limitations. Soft Computing, mainly comprising of Artificial Neural Networks, Evolutionary Computation, and Fuzzy Logic may itself be insufficient to cater to the needs of various kinds of complex problems. In such a scenario, we need to carry out amalgamation of same or different computing approaches, along with heuristics, to make fabulous systems for problem solving. There is further an attempt to make these computing systems as adaptable as possible, where the value of any parameter is set and continuously modified by the system itself. This book first presents the basic computing techniques, draws special attention towards their advantages and disadvantages, and then motivates their fusion, in a manner to maximize the advantages and minimize the disadvantages. Conceptualization is a key element of the book, where emphasis is on visualizing the dynamics going inside the technique of use, and hence noting the shortcomings. A detailed description of different varieties of hybrid and adaptive computing systems is given, paying special attention towards conceptualization and motivation. Different evolutionary techniques are discussed that hold potential for generation of fairly complex systems. The complete book is supported by the application of these techniques to biometrics. This not only enables better understanding of the techniques with the added application base, it also opens new dimensions of possibilities how multiple biometric modalities can be fused together to make effective and scalable systems.

Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 856 pages
File Size : 50,7 Mb
Release : 2007-09-20
Category : Technology & Engineering
ISBN : 9783540724322

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques by Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz Pdf

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Author : Anonim
Publisher : Unknown
Page : 128 pages
File Size : 42,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 9789814475129

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Analysis of Biological Data by Anonim 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.

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Publisher : Springer
Page : 702 pages
File Size : 54,5 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 : Seppo J. Ovaska
Publisher : Wiley-IEEE Press
Page : 450 pages
File Size : 52,5 Mb
Release : 2005
Category : Computers
ISBN : UOM:39015060637371

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Computationally Intelligent Hybrid Systems by Seppo J. Ovaska Pdf

Soft computing is an emerging collection of methodologies that exploit tolerances for imprecision, uncertainty, and partial truth to achieve robustness, tractability, and low total cost.

Author : Patricia Melin,Oscar Castillo
Publisher : Springer
Page : 272 pages
File Size : 47,7 Mb
Release : 2009-09-02
Category : Computers
ISBN : 3540806156

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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 : Ahmad Lotfi,Jonathan M. Garibaldi
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 42,5 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9783540452409

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Applications and Science in Soft Computing by Ahmad Lotfi,Jonathan M. Garibaldi Pdf

Soft computing techniques have reached a significant level of recognition and - ceptance from both the academic and industrial communities. The papers collected in this volume illustrate the depth of the current theoretical research trends and the breadth of the application areas in which soft computing methods are making c- tributions. This volume consists of forty six selected papers presented at the Fourth Inter- tional Conference on Recent Advances in Soft Computing, which was held in N- th th tingham, United Kingdom on 12 and 13 December 2002 at Nottingham Trent University. This volume is organized in five parts. The first four parts address mainly the f- damental and theoretical advances in soft computing, namely Artificial Neural Networks, Evolutionary Computing, Fuzzy Systems and Hybrid Systems. The fifth part of this volume presents papers that deal with practical issues and ind- trial applications of soft computing techniques. We would like to express our sincere gratitude to all the authors who submitted contributions for inclusion. We are also indebted to Janusz Kacprzyk for his - vices related to this volume. We hope you find the volume an interesting refl- tion of current theoretical and application based soft computing research.

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz
Publisher : Springer
Page : 433 pages
File Size : 54,5 Mb
Release : 2007-07-23
Category : Computers
ISBN : 9783540374213

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

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.