Soft Computing in Industrial Applications by AntГіnio Gaspar Lopes da Cunha

Cover of: Soft Computing in Industrial Applications | AntГіnio Gaspar Lopes da Cunha

Published by Springer Berlin Heidelberg in Berlin, Heidelberg .

Written in English

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Subjects:

  • Engineering,
  • Computer vision,
  • Artificial intelligence,
  • Telecommunication

Edition Notes

Book details

Statementedited by António Gaspar-Cunha, Ricardo Takahashi, Gerald Schaefer, Lino Costa
SeriesAdvances in Intelligent and Soft Computing -- 96
ContributionsTakahashi, Ricardo H. C., Schaefer, Gerald, Costa, Lino, SpringerLink (Online service)
The Physical Object
Format[electronic resource] /
ID Numbers
Open LibraryOL27088043M
ISBN 109783642205040, 9783642205057

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"Soft Computing in Industrial Applications" contains a collection of papers that were presented at the 11 th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 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.

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A total of 33 high quality research papers were accepted after a rigorous review process and Brand: Springer International Publishing. His recent works involve the applications of soft computing methodologies to industrial processes including oil refineries, desalination processes, fuzzy control of jet engines, fuzzy controllers for car engines, kinematics and dynamics of serial and parallel robot manipulators.

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“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.

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This Conference is mainly focus on its industrial and environmental applications. Soft Computing Techniques and Applications in Mechanical Engineering is a pivotal reference source for the latest research findings on a comprehensive range of soft computing techniques applied in various fields of mechanical engineering.

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Industrial Applications of Soft Computing: A Review YASUHIKO DOTE AND SEPPO J. OVASKA, SENIOR MEMBER, IEEE Invited Paper Soft computing (SC) is an evolving collection of methodologies, which aims to exploit tolerance for imprecision, uncertainty, and partial truth to achieve robustness, tractability, and low cost.

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Soft Computing In Industrial Applications: Recent and Emerging Methods and Techniques. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies.

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Intelligent Control Systems Using Soft Computing Methodologies This book focuses on the design and analysis of biological and industrial control systems.

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Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions. Hybrid Soft Computing Approaches: Research and Applications PDF Download for free: Book Description: The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations.

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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 by: Book Description Soft computing is a branch of computer science that deals with a family of methods that imitate human intelligence.

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Soft computing is a collection of algorithms that are employed for finding a solution for very complex problems; the ones for which more conventional methods have not yielded low cost & time-feasible solutions.

When we are speaking of low cost, we. 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.

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