Soft Computing Detailed Syllabus for Computer Science and Engineering M.Tech first year second sem is covered here. This gives the details about credits, number of hours and other details along with reference books for the course.
The detailed syllabus for Soft Computing M.Tech 2017-2018 (R17) first year second sem is as follows.
M.Tech. I Year II Sem.
Course Objectives: To give students knowledge of soft computing theories fundamentals, i.e. Fundamentals of artificial and neural networks, fuzzy sets and fuzzy logic and genetic algorithms.
UNIT- I : AI Problems and Search: AI problems, Techniques, Problem Spaces and Search, Heuristic Search Techniques- Generate and Test, Hill Climbing, Best First Search Problem reduction, Constraint Satisfaction and Means End Analysis. Approaches to Knowledge Representation- Using Predicate Logic and Rules.
UNIT- II : Artificial Neural Networks: Introduction, Basic models of ANN, important terminologies, Supervised Learning Networks, Perceptron Networks, Adaptive Linear Neuron, Back propagation Network. Associative Memory Networks. Traing Algorithms for pattern association, BAM and Hopfield Networks.
UNIT- III : Unsupervised Learning Network- Introduction, Fixed Weight Competitive Nets, Maxnet, Hamming Network, Kohonen Self-Organizing Feature Maps, Learning Vector Quantization, Counter Propagation Networks, Adaptive Resonance Theory Networks. Special Networks-Introduction to various networks.
UNIT- IV : Introduction to Classical Sets ( crisp Sets)and Fuzzy Sets– operations and Fuzzy sets. Classical Relations -and Fuzzy Relations- Cardinality, Operations, Properties and composition. Tolerance and equivalence relations. Membership functions- Features, Fuzzification, membership value assignments, Defuzzification.
UNIT- V : Fuzzy Arithmetic and Fuzzy Measures, Fuzzy Rule Base and Approximate Reasoning Fuzzy Decision making Fuzzy Logic Control Systems, Genetic Algorithm- Introduction and basic operators and terminology. Applications: Optimization of TSP, Internet Search Technique.
TEXT BOOKS:
- Principles of Soft Computing- S N Sivanandam, S N Deepa, Wiley India, 2007
- Soft Computing and Intelligent System Design -Fakhreddine O Karray, Clarence D Silva,. Pearson Edition, 2004.
REFERENCE BOOKS:
- Artificial Intelligence and Soft Computing- Behavioural and Cognitive Modeling of the Human Brain- Amit Konar, CRC press, Taylor and Francis Group.
- Artificial Intelligence – Elaine Rich and Kevin Knight, TMH, 1991, rp2008.
- Artificial Intelligence – Patric Henry Winston – Third Edition, Pearson Education.
- A first course in Fuzzy Logic-Hung T Nguyen and Elbert A Walker, CRC. Press Taylor and Francis Group.
For all other M.Tech 1st Year 2nd Sem syllabus go to JNTUH M.Tech Computer Science and Engineering 1st Year 2nd Sem Course Structure for (R17) Batch.
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