Hello Electrical Engineering students, I am sharing the Soft Computing PDF class lecture notes, eBook, book as per the Electrical Engineering Second year course syllabus. These Soft Computing quick revision notes will help you prepare on the exam day and score good marks.
List of topics covered in Soft Computing quick revision PDF Hand written class notes, book, eBook for Electrical Engineering Second Year:
List of topics covered in Soft Computing quick revision PDF Hand written class notes, book, eBook for Electrical Engineering Second Year:
- 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
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