Soft Computing eBook/Notes Free PDF Download for Electrical Engineering

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Hi friends,

On this thread i am uploading high quality notes for the subject Soft Computing eBook/Notes. These notes can be downloaded easily and will definitely help you prepare well for this subject and it's semester exam.


Topics covered in Soft Computing eBook/Notes:

MODULE-I - 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 Reasoning , Fuzzy Inference Systems, Mamdani Fuzzy Models, Sugeno Fuzzy Models, Tsukamoto Fuzzy Models, Input Space Partitioning and Fuzzy Modeling.

MODULE-II - Neural networks: Single layer networks, Perceptrons: Adaline, Mutilayer Perceptrons Supervised Learning, Back-propagation, LM Method, Radial Basis Function Networks, Unsupervised Learning Neural Networks, Competitive Learning Networks, Kohonen Self-Organizing Networks, Learning Vector Quantization, Hebbian Learning. Recurrent neural networks,. Adaptive neuro-fuzzy information; systems (ANFIS), Hybrid Learning Algorithm, Applications to control and pattern recognition.

MODULE-III - Derivative-free Optimization Genetic algorithms: Basic concepts, encoding, fitness function, reproduction. Differences of GA and traditional optimization methods. Basic genetic programming concepts Applications.

MODULE-IV - Evolutionary Computing, Simulated Annealing, Random Search, Downhill Simplex Search, Swarm optimization

This lecture notes file for Soft Computing eBook/Notes can be downloaded by clicking on the pdf icon below.
 

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