Last edited by Vosho
Tuesday, August 4, 2020 | History

1 edition of Soft Computing Applications in Optimization, Control, and Recognition found in the catalog.

Soft Computing Applications in Optimization, Control, and Recognition

by Patricia Melin

  • 147 Want to read
  • 25 Currently reading

Published by Springer Berlin Heidelberg, Imprint: Springer in Berlin, Heidelberg .
Written in English

    Subjects:
  • Pattern perception,
  • Engineering,
  • Artificial Intelligence (incl. Robotics),
  • Optical pattern recognition,
  • Computational intelligence,
  • Artificial intelligence

  • About the Edition

    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.

    Edition Notes

    Statementedited by Patricia Melin, Oscar Castillo
    SeriesStudies in Fuzziness and Soft Computing -- 294
    ContributionsCastillo, Oscar, SpringerLink (Online service)
    Classifications
    LC ClassificationsQ342
    The Physical Object
    Format[electronic resource] /
    PaginationXII, 388 p. 203 illus.
    Number of Pages388
    ID Numbers
    Open LibraryOL27088034M
    ISBN 109783642353239

    In the last decade new artificial intelligence methods for the modelling and control of complex systems, namely neural networks, fuzzy logic and probabilistic reasoning have drawn the interest of researchers and engineers. Recently, the advantages achievable by using combinations of these methods, which have independent origin and evolution, have been pointed out, generating a new paradigm 1/5(1). Soft computing applications in optimization, control, and recognition Soft computing methods for control and instrumentation Soft computing methods applied to control problems Predictive filtering methods and their applications Neural network-based dynamical system identification.

    It is intended that the articles published in the journal will encompass both the short and the long term effects of soft computing and other related fields such as robotics, control, computer, cyber security, vision, speech recognition, pattern recognition, data mining, big data, data analytics, machine intelligence and deep learning. Papers must include an element of optimization or optimal control and estimation theory to be considered by the journal, and all papers will be expected to include significant novel material. The journal only considers papers that mainly use model based control design methods and hence papers featuring fuzzy control will not be included. Optimal Control Applications and Methods provides a.

      Introduction: traditional computing and soft computing Given some inputs and a well laid-out procedure of calculation, traditional computing meant application of procedural steps to generate results. It ensured precision and certainty of results and also reduced rigour in manual effort. 9 th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI ). December 19 ~ 20, , Sydney, Australia. Scope & Topics. 9 th International Conference on Soft Computing, Artificial Intelligence and Applications (SCAI ) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of.


Share this book
You might also like
Brat Farrar

Brat Farrar

Foreign economic policy.

Foreign economic policy.

Captain Scott

Captain Scott

Iraq: Democracy or Civil War? Serial No. 109-247, September 11, 2006, 109-2 Hearing, *

Iraq: Democracy or Civil War? Serial No. 109-247, September 11, 2006, 109-2 Hearing, *

Este hoem e Périgoso.

Este hoem e Périgoso.

Kratkiĭ terminologicheskiĭ slovarʹ po iskopaemym ėnergeticheskim resursam

Kratkiĭ terminologicheskiĭ slovarʹ po iskopaemym ėnergeticheskim resursam

Synthesis of a collision tolerant fixed navigation marker system

Synthesis of a collision tolerant fixed navigation marker system

Symposium on the Mechanism of Enzyme Action.

Symposium on the Mechanism of Enzyme Action.

League City quadrangle, Texas, 1995

League City quadrangle, Texas, 1995

Argonautica

Argonautica

night hawk.

night hawk.

Catfishing

Catfishing

Aims and activities

Aims and activities

St Martins College, Lancaster

St Martins College, Lancaster

Jalav, Amazon warrior

Jalav, Amazon warrior

RSA Journal.

RSA Journal.

Promising practices in civic education

Promising practices in civic education

Preparing reports to committees.

Preparing reports to committees.

Harveian oration.

Harveian oration.

Soft Computing Applications in Optimization, Control, and Recognition by Patricia Melin Download PDF EPUB FB2

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.

Soft Computing Applications in Optimization, 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. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization.

We describe in this book, new methods for building intelligent systems for pattern recognition using type-2 fuzzy logic and soft computing techniques. Soft Computing (SC) consists of Author: Mrutyunjaya Panda. This carefully edited book Control a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and.

The book contains a collection of papers covering outstanding research and developments in the field of Soft Computing including, evolutionary computation, fuzzy control and neuro-fuzzy systems, bio-inspired systems, optimization techniques and application of Soft Computing techniques in modeling, control, optimization, data mining, pattern.

This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and.

This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization.

The book. Now Soft Computing is the only solution when we do not have any mathematical modeling of problem-solving (i.e., algorithm), in real-time, there is a need to solve a complex problem, adapt with the changed scenario and be implemented with parallel computing.

It has massive applications in many application zones such as medical diagnosis, computer vision, machine intelligence, weather. The techniques of soft computing are nowadays being used successfully in many domestic, commercial, and industrial applications.

With the advent of the low-cost and very high performance digital processors and the reduction of the cost of memory chips it is clear that the techniques and application areas of soft computing will continue to expand.

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.

LECTURE NOTES ON SOFT COMPUTING SUBJECT CODE: BCS SOFT COMPUTING () (ANFIS), Hybrid Learning Algorithm, Applications to control and pattern recognition. MODULE-III (10 HOURS) Derivative-free Optimization Genetic algorithms: Basic concepts, encoding, fitness function, reproduction.

Differences of GA and traditional optimization. networking optimization, power control, Intelligent veh icle control requires recognition of the driving e The book covers the theory and application of soft computing techniques namely.

Soft Computing vs Hard Computing The biological processes fascinated scientists to solve real world problems by simulating the processes to robust algorithms and solve problems like a human mind in uncertain environment with limited information whereas the conventional algorithms (hard computing) fail to solve due to the strict principles.

Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.

This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Computing, ICICheld in Huangshan, China, in July The revised full papers presented in the three volumes LNCSLNAIand CCIS were carefully reviewed and selected from submissions.

The papers in this volume (CCIS ) are organized in topical sections on Neural. Soft computing optimization control problems is.

Book. Jan ; This paper studies the application of an intelligent control technique, including neural networks and genetic algorithms. The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications.

Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions.

Part of book: From Natural to Artificial Intelligence - Algorithms and Applications. Convolutional Neural Networks for Raw Speech Recognition.

By Vishal Passricha and Rajesh Kumar Aggarwal. Part of book: From Natural to Artificial Intelligence - Algorithms and Applications. An Ant Colony Optimization Algorithm for Area Traffic Control. “Soft Computing and Intelligent Systems - Theory and Application”, by Naresh K. Sinha and Madan M.

Gupta (), Academic Press, Chapterpage 3 "Soft Computing and Intelligent Systems Design - Theory, Tools and Applications", by Fakhreddine karray and Clarence de Silva (), Addison Wesley, chapterpage 4. Soft computing is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in an environment of uncertainty and imprecision.

Soft computing is based on some biological inspired methodologies such as genetics, evolution, ant’s behaviors, particles swarming, human nervous systems, etc. 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 : Hardcover.Soft computing techniques, such as artificial neural network, fuzzy logic and genetic algorithm, have been used for knitted fabrics modelling, manufacturing, quality control and marketing.

Soft computing applications for knitted fabric defect identification in static and dynamic conditions, fabric classification, fabric engineering, knitting.