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Introduction to Soft Computing pdf Lecture Notes and Ebook
Pankaj Yadav

Introduction to Soft Computing pdf Lecture Notes and Ebook

Pankaj Yadav | 16-Jan-2016 |
Introduction , Fuzzy Logic Systems , Neural networks , Unified Form of Soft Computing Methods , Training of Soft Computing Methods ,

Hi friends, here Pankaj Yadav uploaded notes for SOFT COMPUTING with title Introduction to Soft Computing pdf Lecture Notes and Ebook. You can download this lecture notes, ebook by clicking on the below file name or icon.

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
2.1.5 Fuzzy Rules .
2.1.6 Fuzzy Inference
2.1.7 Fuzzifier and Defuzzifier .
2.1.8 The General Relation between Probability and Fuzziness .
2.2 Different Fuzzy Systems .
2.2.1 Takagi and Sugeno’s Fuzzy System .
2.2.2 Mendel-Wang’s Fuzzy System
2.2.3 Kosko’s Standard Additive Model (SAM)
2.3 Approximation Capability .
2.4 Different Interpretations of Fuzzy Sets
2.5 Different Ways to form Fuzzy Sets
3. Neural Networks .
3.1 Basic Concepts
3.1.1 Single-layer Feedforward Networks
3.2 Multilayer Perceptron
3.3 Functional Link Network
3.4 Radial Basis Function Network
3.5 Neuro-Fuzzy Networks
3.5.1 Different Neurofuzzy Approaches
3.6 ANFIS
3.7 Approximation Capability
4. Unified Form of Soft Computing Methods .
4.1 Introduction .
4.2 Interpolation Networks .
4.3 Models for Non-linear Mapping .
4.4 Posterior Probability in FLS and Neural Networks
4.5 Basis Function Selection
5. Training of Soft Computing Methods
5.1 The Basics
5.2 Network Mapping
5.3 Regularization .
5.4 The Bias/Variance Tradeoff .
5.5 Training Methods in Nutshell
6. Conclusion

 

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