Descripción del título
Soft Computing Techniques i...
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. .
Monografía
monografia Rebiun36406979 https://catalogo.rebiun.org/rebiun/record/Rebiun36406979 m o d | cr nn 008mamaa 140222s2014 gw s 00 0 eng d 9783319046938 9783319046945 9783319046921 9783319375014 10.1007/978-3-319-04693-8 doi UMA.RE eng UYQ bicssc COM004000 bisacsh 006.3 23 Soft Computing Techniques in Engineering Applications Recurso electrónico] edited by Srikanta Patnaik, Baojiang Zhong Cham Springer International Publishing 2014 Cham Cham Springer International Publishing Cham Springer International Publishing Imprint: Springer 2014 Cham Cham Springer International Publishing Imprint: Springer VI, 206 p. 134 il., 57 il. col VI, 206 p. 134 il., 57 il. col Text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence 543 Bibliographic Level Mode of Issuance: Monograph Includes bibliographical references From the Contents: Machine Vision Solutions in Automotive Industry Kinect Quality Enhancement for Triangular Mesh Reconstruction with a Medical Image Application -- Matlab GUI Package for Comparing Data Clustering Algorithms -- Multi Objective Line Symmetry Based Evolutionary Clustering Approach -- An Efficient Method for Contrast Enhancement of Digital Mammographic Images -- Simulation of Obstacle Detection and Speed Control for Autonomous Robotic Vehicle -- A Review of Global Path Planning Algorithms for Planar Navigation of Autonomous Underwater Robots 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. . English Engineering Computer vision Consciousness Computational Intelligence. Image Processing and Computer Vision. Cognitive Psychology. Engineering Computer vision Consciousness Computational Intelligence Image Processing and Computer Vision Cognitive Psychology Patnaik, Srikanta ed. lit Zhong, Baojiang ed. lit Studies in Computational Intelligence (CKB)1000000000238186 (DLC) (OCoLC) 1860-9503 3-319-04692-6 Studies in Computational Intelligence 543