Syllabus Soft Computing - [414451] Credit Scheme : Examination Scheme : 03 Credits Mid_Semester : 30 Marks End_Semester : 70 Marks Unit I Introduction Basic concept of Soft Computing, Historical Development, Definitions, Soft Computing characteristics, advantages and disadvantages, Constitutes of Soft Computing : Fuzzy Logic and Computing, Neural Computing, Evolutionary Computing, Genetic Algorithms, Probabilistic Reasoning. (Chapter - 1) Unit II Artificial Neural Networks Fundamentals : Biological Neurons and Artificial neural network, model of artificial neuron. Neural Network Architectures, Neural Network models : Perceptron, Adaline, and Madaline networks; single layer network; Back propagation and multi-layer networks. Learning Methods : Hebbian, competitive, Boltzman etc., Competitive learning networks : Kohonenself-organizing networks, Hebbian learning; Hopfield Networks. (Chapter - 2) Unit III Fuzzy Logic and Fuzzy Systems Fuzzy logic, fuzzy sets and operations, fuzzy relations, Fuzzy arithmetic, and fuzzy measures. Fuzzy to Crisp conversions : Lambda Cuts for fuzzy sets, fuzzy Relations, Defuzzification methods. Fuzzy rules and reasoning, Fuzzy inference systems- Mamdani Fuzzy Models -Sugeno Fuzzy Models, Fuzzy modeling and decision making, Neuro-fuzzy modeling. (Chapter - 3) Unit IV Genetic Algorithms Introduction, Encoding, Operators of Genetic Algorithm, Basic Genetic Algorithm, Simple GA, crossover and mutation, Multi-objective Genetic Algorithm (MOGA) Applications of Genetic Algorithm : genetic algorithms in search and optimization, GA based clustering Algorithm, Image processing and pattern Recognition. (Chapter - 4) Unit V Hybrid Systems Introduction, Neuro-Fuzzy modeling : Genetic Algorithm based Back-propagation Network, Fuzzy - Backpropagation, Fuzzy Logic Controlled Genetic Algorithms, Simplified Fuzzy ARTMAP, Case studies. (Chapter - 5) Unit VI Applications of Soft Computing Techniques Applications of fuzzy in pattern recognition-character recognition. Applications of evolutionary computing in Image processing and computer vision, soft computing in mobile ad-hoc networks, soft computing in Information Retrieval and Semantic web, Soft Computing in Software Engineering, Simulated Annealing, Tabu search, Ant colony optimization (ACO), Particle Swarm Optimization (PSO). (Chapter - 6)
