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19-Jan-2016 | By Neeraj Yadav | 2 Comment's

 Basic tools of soft Computing – Fuzzy logic, Neural Networks and Evolutionary Computing , Activation functions. Adaline: its training and capabilities, weights learning,  Approximations of Multivariate functions,  error back propagation, generalized delta rule.  N....

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19-Jan-2016 | By Pankaj Yadav | 0 Comment's

1. Introduction 1.1 Soft Computing 1.1.1 Fuzzy Logic 1.1.2 Neural Networks 1.1.3 Probabilistic Reasoning 2. Fuzzy Logic Systems . 2.1 Basic Concepts 2.1.1 Set-Theoretical Operations and Basic Definitions 2.1.2 Fuzzy Relations . 2.1.3 The Extension Principle . 2.1.4 Approximate Reasoning 2....

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19-Jan-2016 | By Pankaj Yadav | 0 Comment's

I SoftComputing-Overview 1 1 Introduction 3 1.1 Guiding Principle of Soft Computing . . . . . . . . . . . . . . . . 3 1.2 Importance of Soft Computing . . . . . . . . . . . . . . . . . . . 4 1.3 The Contents of the Study . . . . . . . . . . . . . . . . . . . . . . 4 2 Fuzzy Systems 7 2.1 Intro....

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19-Jan-2016 | By Pankaj Yadav | 0 Comment's

MODULE-I (10 HOURS) Introduction to Neuro, Fuzzy and Soft Computing, Fuzzy Sets : Basic Definition and Terminology, Set-theoretic Operations, Member Function Formulation and Parameterization, Fuzzy Rules and Fuzzy Reasoning, Extension Principle and Fuzzy Relations, Fuzzy If-Then Rules, Fuzzy Reas....

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