Back close
Admissions

Course Detail

Course Name Computational Intelligence
Course Code 15CSE338
Program B. Tech. in Computer Science and Engineering
Year Taught 2019

Syllabus

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.)

Text Books

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

Resources

  • 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.

DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.

Admissions Apply Now