Last edited by Braramar
Saturday, May 9, 2020 | History

8 edition of Analysis and Design of Intelligent Systems Using Soft Computing Techniques (Advances in Soft Computing) found in the catalog.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques (Advances in Soft Computing)

  • 251 Want to read
  • 27 Currently reading

Published by Springer .
Written in English

    Subjects:
  • Applied mathematics,
  • Artificial intelligence,
  • Mathematics and Science,
  • Mathematics,
  • Computers - General Information,
  • Science/Mathematics,
  • Artificial Intelligence - General,
  • Fuzzy Logic,
  • Mathematics / Applied,
  • Theory and Applications,
  • Applied,
  • Congresses,
  • Expert systems (Computer science),
  • Hybrid computers,
  • Soft computing

  • Edition Notes

    ContributionsPatricia Melin (Editor), Oscar Castillo (Editor), Eduardo G. Ramírez (Editor), Janusz Kacprzyk (Editor), Witold Pedrycz (Editor)
    The Physical Object
    FormatPaperback
    Number of Pages855
    ID Numbers
    Open LibraryOL12810439M
    ISBN 103540724311
    ISBN 109783540724315

    “Soft Computing and Intelligent Systems - Theory and Application”, by Naresh K. Sinha and Madan M. Gupta (), Academic Press, Chapter , page 3 "Soft Computing and Intelligent Systems Design - Theory, Tools and Applications", by Fakhreddine karray and Clarence de Silva (), Addison Wesley, chapter , page 4. Karray and de Silva cover the problem of intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies.

    3. New Optimization Techniques 4. Numerical Computation 5. New Application domains 6. Model-free learning 7. Intensive computation 8. Fault tolerance 9. Goal driven characteristics Real world applications Intelligent Control Strategies (Components of Soft Computing): The popular soft computing components in designing intelligent control.   This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms.

    The eBook Intelligent Computing and System Design by Dr Hon Keung Kwan is one of best eBook I have ever come across. The eBook is written in a manner where everyone can understand and proper examples are given for every topic in order to enhance the effective learning in student.5/5(3). springer, This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. 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.


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Analysis and Design of Intelligent Systems Using Soft Computing Techniques (Advances in Soft Computing) Download PDF EPUB FB2

This book comprises a selection of papers from IFSA on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. 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.

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 World Congress, held in Cancun, Mexico, June Price: $ and design of hybrid intelligent systems using soft computing techniques.

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 intelligent systems that combine several SC techniques. Ellibs Ebookstore - Ebook: Analysis and Design of Intelligent Systems using Soft Computing Techniques - Author: Castillo, Oscar - Price: ,90€Book Edition: 1. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control : $ Patricia Melin, Oscar Castillo, Eduardo Gómez-Ramírez, Janusz Kacprzyk, Witold Pedrycz: Analysis and Design of Intelligent Systems using Soft Computing Techniques, a selection of papers from IFSA Advances in Soft Comput SpringerISBN Author: Patricia Melin.

28, is tempted to consider using the present book 22 accompanied by a Solutions Manual, for graduate course on Intelligent Control Systems, at Idaho State University.

The book can be used without much background material for senior and/or graduate students interested in knowing fundamental aspects of the fields of NNs, and FL within the broader discipline of intelligent control systems.

S.M. Thampi et al. / Special issue on soft computing and intelligent systems [40] A. Narang, B. Batra, A. Ahuja, J. Y adav and N. Pachauri, Classification of EEG signals for epileptic.

Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies.

Intelligent Control Systems Using Soft Computing Methodologies. Skip to main content. This banner text can have markup.

web; Intelligent Control Systems Using Soft Computing Methodologies Internet Archive HTML5 Uploader plus-circle Add Review. comment. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geomechanical systems.

Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm intelligence, probabilistic modeling, kernel.

4 soft computing: concepts and techniques Fuzzy logic is used in system control and analysis design, because it shortens the time for engineering development and sometimes, in the case of highly Author: Mrutyunjaya Panda. Soft computing has changed the way we think about artificial intelligence.

Its biology-inspired approach to intelligent systems design combines approximate reasoning, artificial neural networks and evolutionary computing to solve real-world problems where conventional "crisp" computing techniques may have by: From the Publisher: In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development.

Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing.

It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems based on soft computing used in medical image analysis.

Soft Computing Techniques in Intelligent First of all, the design and analysis for the traditional control system is based on their precise mathematical several reasons that make the use of fuzzy systems so attractive.

Firstly, the procedure enables the designer to. Analysis and design of intelligent systems using soft computing techniques. [Patricia Melin;] -- This book comprises a selection of papers from IFSA on new methods for analysis and design of hybrid intelligent systems using soft computing techniques.

Summary: 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 World Congress, held in Cancun, Mexico, June Soft Computing Based Medical Image Analysis presents the foremost techniques of soft computing in medical image analysis and processing.

It includes image enhancement, segmentation, classification-based soft computing, and their application in diagnostic imaging, as well as an extensive background for the development of intelligent systems.

Soft Computing and Intelligent Systems Design: Theory, Tools and Applications 1st Edition Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog.

Soft Computing in the Design and Manufacturing of Composite Material offers an intelligent approach to advance material engineering, and significantly improves the process of designing and manufacturing a new material.

This title includes chapters covering topics such as soft computing techniques, composite materials engineering, design and.SOFT COMPUTING TECHNIQUES 15 Figure Neural Networks Limitations The major issues of concern today are the scalability problem, testing, verification and integration of neural network systems into the modern environment.

Neural network programs sometimes become .Book Review Free Access Soft computing and intelligent systems design: theory, tools and applications, F.

O. Karry and C. De Silva, Pearson, Addison‐Wesley, New York, NY,