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Engineering - Computational Intelligence and Complexity | Soft Computing Techniques in Engineering Applications

Soft Computing Techniques in Engineering Applications

Patnaik, Srikanta, Zhong, Baojiang (Eds.)

2014, VI, 206 p. 134 illus., 57 illus. in color.

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  • 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

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.

 

Content Level » Research

Keywords » Computational Intelligence - Soft Computing - Vision Science

Related subjects » Cognitive Psychology - Computational Intelligence and Complexity - Image Processing

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