COURSE SUMMARY
Course Title: 
Computational Intelligence
Course Code: 
15CSE338
Year Taught: 
2015
2016
2017
2018
Type: 
Elective
Degree: 
Undergraduate (UG)
School: 
School of Engineering
Campus: 
Bengaluru
Chennai
Coimbatore
Amritapuri

'Computational Intelligence' is a course offered in the B. Tech. in Computer Science and Engineering program at School of Engineering, Amrita Vishwa Vidyapeetham.

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

Fuzzy Logic: Fuzzy sets, properties, membership functions, fuzzy operations. Fuzzy logic and fuzzy inference and applications, Evolutionary Computation - constituent algorithms, Swarm intelligence algorithms - Overview of other bio-inspired algorithms - Hybrid approaches (neural networks, fuzzy logic, genetic algorithms etc.)

  • Kumar S., “Neural Networks - A Classroom Approach”, Tata McGraw Hill, 2004.
  • Konar A., “Computational Intelligence: Principles, Techniques and Applications”, Springer Verlag, 2005
  • 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.