Fundamental Techniques of Soft Computing - Sahu, Satya Prakash; Tripathi, Rakesh; Kumar, Sanjay
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This Book deals with basics and fundamental concepts and techniques of Soft Computing under the heading of Artificial Neural Network (ANN), Fuzzy Logic (FL) and Genetic Algorithms (GA) or Evolutionary Computing (EC). The subject covers the tools and methods to deal with the problems under uncertainty, imprecision, partial or incomplete information and offers the approximation to achieve the robust, low cost and optimal solution.The major objective of these components are learning or training of pattern, to work with inaccurate and partial truth information for the development of control system…mehr

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Produktbeschreibung
This Book deals with basics and fundamental concepts and techniques of Soft Computing under the heading of Artificial Neural Network (ANN), Fuzzy Logic (FL) and Genetic Algorithms (GA) or Evolutionary Computing (EC). The subject covers the tools and methods to deal with the problems under uncertainty, imprecision, partial or incomplete information and offers the approximation to achieve the robust, low cost and optimal solution.The major objective of these components are learning or training of pattern, to work with inaccurate and partial truth information for the development of control system and to achieve the optimized solution. The salient features of the book are: i. Soft Computing fundamentals and concepts. ii. Explanation and Study of on various Neural Networks models and algorithms. iii. Description of Fuzzy Sets and Fuzzy Systems. iv. Overview of Genetic Algorithms and its applications. v. Discussions on problems for ANNs, FL and GAs.
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Autorenporträt
Satya Prakash Sahu, is Assistant Professor in the Department of Information Technology, National Institute of Technology Raipur, India. He has over 12 years of teaching and research experience and more than 20 papers to his credit. His areas of interest include Soft Computing Techniques, Artificial Intelligence, Medical Imaging & Machine Learning.