Mid Sem Syllabus of Soft Computing

Government Engineering College Patan

Computer Science and Engineering

Mid-Sem Exam syllabus Semester VII June-Oct 2015

Subject Name:  Soft Computing

Subject Code:    173101

1. Neural Networks

Supervised Learning Neural Networks – Perceptions - Adeline – Back propagation Multilayer Perceptions – Radial Basis Function Networks –Unsupervised Learning Neural Networks – Competitive Learning Networks –Kohonen Self-Organizing Networks – Learning Vector Quantization – Hebbian Learning.

2. Fuzzy Set Theory

Introduction to Neuron – 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 – Surgeon Fuzzy Models – Tsukamoto Fuzzy Models – Input Space Partitioning and Fuzzy Modeling.

3. Genetic Algorithm:

Difference between Traditional Algorithms and GA, The basic operators, Schema theorem, convergence analysis, stochastic models, applications in search and optimization. Encoding, Fitness Function, Reproduction, Cross Over, Mutation, Convergence Theory; Applications – Match Word Finding, Travelling Sales Man Problem.

4. Rough Set:

Indiscernibility Relations, Redacts, Rough Approximation. Applications. Hybrid Systems: Neuron Fuzzy Systems, Fuzzy Logic Controlled GA, Fuzzy Membership Interpretation using Rough Set theory etc.