| Course Name | Introduction to Soft Computing |
| Course Code | 15ECE368 |
| Program | B. Tech. in Electronics and Communication Engineering |
| Year Taught | 2019 |
Overview of Artificial Neural Networks (ANN) – Models of a neuron – Network architectures – Bayes theorem – Naïve Bayes classifier – Rosenblatt’s Perceptron – Perceptron convergence theorem – Multilayer Perceptrons – Back propagation – Application of ANN in Classification and Regression – Classifier performance measures – Validation techniques.
Fundamentals of Genetic Algorithms – Creation of offspring – Encoding – Fitness function – Reproduction – Inheritance operators – Crossover – Inversion and deletion – Mutation – Generational cycle – Convergence of GA – Applications.
Introduction to basic Particle Swarm Optimization (PSO) algorithm – Swarm size – Information links – Initialization – Equations of motion – Interval confinement – Proximity distributions – Applications
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