Unit 1

Artificial Intelligence – a brief review – Pitfalls of traditional AI – Why Computational Intelligence? – Computational intelligence concept – Importance of tolerance of imprecision and uncertainty – Constituent techniques – Overview of Artificial Neural Networks, Fuzzy Logic, Evolutionary Computation.

Unit 2

Neural Network: Biological and artificial neuron, neural networks, supervised and unsupervised learning. Single layer Perceptron, Multilayer Perceptron – Back propagation learning. Neural networks as associative memories – Hopfield networks, Bidirectional Associative Memory. Topologically organized neural networks – competitive learning, kohonen maps.

Unit 3

• Engelbrecht, A.P, “Fundamentals of Computational Swarm Intelligence”, John Wiley & Sons, 2006.
• Ross T J, “Fuzzy Logic with Engineering Applications”, McGraw Hill, 2002.
• Eiben A E and Smith J E, “Introduction to Evolutionary Computing”, Second Edition, Springer, Natural Computing Series, 2007.
• Jang J S R and Sun C T, Mizutani E, “Neuro – Fuzzy and Soft Computing”, PHI, 2002.
• Rajashekaran S and Vijayalakshmi Pai G A, “Neural Networks, Fuzzy Logic and Genetic Algorithms”, PHI, 2003.