Soft computing quick revision PDF notes, book, eBook for BTech Electronics Engineering - Free Download



Hello BTech Electronics (ECE/EC/ET) Engineering students, I have shared these amazing lecture notes, book/eBook for the subject - Soft computing as per the BTech Electronics Engineering course curriculum. These PDF notes, eBook on Soft computing will help you quickly revise the entire subject and help score higher marks in your Electronics Engg. semester exams.

Main topics covered in Soft computing quick revision PDF class notes, book, eBook for BTech Electronics Engineering:

  • 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
Please click the download link below to get Soft computing quick revision PDF class notes, book, eBook file for BTech Electronics Engineering syllabus.


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