Studies in Computational Intelligence

Soft Computing Techniques in Engineering Applications

Editors: Patnaik, Srikanta, Zhong, Baojiang (Eds.)

  • Latest research on Soft Computing Techniques in Vision Science
  • Presents basic research extending to Visual Perception and Visual system, Cognitive Psychology, and Psychophysics
  • Written by experts in the field
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  • Due: October 20, 2016
  • ISBN 978-3-319-37501-4
  • Free shipping for individuals worldwide
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About this book

The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.

Reviews

From the book reviews:

“This book is a collection of recent applications of soft computing in medical imaging, the automotive industry, and robotics. … the book can be used as reference textbook to give beginners an idea of how to apply soft computing algorithms to practical applications.” (Jindong Liu, Computing Reviews, June, 2014)

Table of contents (12 chapters)

  • Machine Vision Solutions in Automotive Industry

    Bhanu Prasad, Pinnamaneni (et al.)

    Pages 1-14

  • Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application

    Khongma, A. (et al.)

    Pages 15-32

  • A Matlab GUI Package for Comparing Data Clustering Algorithms

    Mukhopadhyay, Anirban (et al.)

    Pages 33-48

  • Multi Objective Line Symmetry Based Evolutionary Clustering Approach

    Vijendra, Singh (et al.)

    Pages 49-58

  • An Efficient Method for Contrast Enhancement of Digital Mammographic Images

    Kumar, Sanjeev (et al.)

    Pages 59-74

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-04693-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-04692-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 20, 2016
  • ISBN 978-3-319-37501-4
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Soft Computing Techniques in Engineering Applications
Editors
  • Srikanta Patnaik
  • Baojiang Zhong
Series Title
Studies in Computational Intelligence
Series Volume
543
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-04693-8
DOI
10.1007/978-3-319-04693-8
Hardcover ISBN
978-3-319-04692-1
Softcover ISBN
978-3-319-37501-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
VI, 206
Number of Illustrations and Tables
77 b/w illustrations, 57 illustrations in colour
Topics