JNTUH B.Tech 4th Year 1 sem Information Technology R13 (4-1) Soft Computing (Elective – I) R13 syllabus.

JNTUH B.Tech 4th year (4-1) Soft Computing gives you detail information of Soft Computing (Elective – I) R13 syllabus It will be help full to understand you complete curriculum of the year.

Objectives

To give students knowledge of soft computing theories fundamentals, ie. Fundamentals of artificial and neural networks, fuzzy sets and fuzzy logic and genetic algorithms.

UNIT-I

Al Problems and Search: Al 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 iind 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. Training 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 i networks.

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TEXT BOOKS

• Principles of Soft Computing- S N Sivanandam, S N Deepa, Wiley India, 2007.
• Soft Computing and Intelligent System Design -Fakhreddine 0 Karray, Clarence D Silva, Pearson Edition, 2004.

REFERENCE BOOKS

• Artificial Intelligence and Soft Computing- Behavioural and Cognitive Modelling 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.
• Artificial Intelligence and Intelligent Systems,N.P.Padhy, Oxford Univ. Press.

Outcomes

• Ability to build intelligent machines using soft computing techniques
• Ability to apply fuzzy logic to handle uncertainty problems.
• Ability to apply neural networks for classifications.

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