Page 63 - B.Tech IT Curriculum and Syllabus R2017 - REC
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Department of IT, REC
SEMESTER VI
IT17601 COMPUTATIONAL INTELLIGENCE L T P C
4 0 0 4
OBJECTIVES:
To understand the fundamental concepts of computational Intelligence.
To know the fundamentals of rule based systems and fuzzy expert systems.
To acquire the knowledge of artificial neural networks.
To understand the concepts of evolutionary computations.
To expose the concepts of hybrid intelligent systems.
UNIT I INTRODUCTION 9
Introduction to Computational Intelligence - Intelligence machines - Computational intelligence
paradigms: Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Artificial
Immune Systems, Fuzzy Systems. -Short history.
(Text Book 1: Chapter 1, Text Book 2: Chapter 1)
UNIT II RULE-BASED EXPERT SYSTEMS AND FUZZY EXPERT SYSTEMS 9
Rule-based expert systems - Uncertainty management in rule-based expert systems- Fuzzy expert
systems: Fuzzy sets and operations of fuzzy sets - Fuzzy rules and fuzzy inference - Case Studies.
(Text Book 2: Chapter 2-4)
UNIT III ARTIFICIAL NEURAL NETWORKS 9
The Artificial Neuron – Supervised Learning Neural Networks – Unsupervised Learning Neural
Networks-Performance Issues (Supervised Learning)
(Text Book 1: Chapter 2-4, 7)
UNIT IV EVOLUTIONARY COMPUTATION 9
Introduction to Evolutionary Computation-Genetic Algorithms: Canonical Genetic Algorithm,
Crossover, Mutation, Control Parameters, Genetic algorithm variants-Genetic Programming-
Evolution Strategies- Case studies
(Text Book 1: Chapter 8-10, 12) (Text Book 2: Chapter 7)
UNIT V HYBRID INTELLIGENT SYSTEMS 9
Hybrid Intelligent Systems - Neural expert systems - Neuro-fuzzy systems - Evolutionary neural
networks-fuzzy evolutionary systems
(Text Book 2: Chapter 8)
TOTAL: 45 PERIODS
TEXT BOOKS:
1. A.P. Engelbrecht, Computational Intelligence: An Introduction, 2nd Edition, John Wiley &
Sons, 2012.
2. M. Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems, 3rd Edition,
Pearson/Addison Wesley, 2011.
REFERENCES:
1. H.K. Lam, S.S.H. Ling, and H.T. Nguyen, Computational Intelligence and Its Applications:
Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine,
Imperial College Press, 2011.
2. E. Turban, J. E. Aronson, T.-P. Liang, Decision Support Systems and Intelligent Systems, 8th
Ed., Pearson Prentice Hall, 2012.
3. E. Cox, The Fuzzy Systems Handbook, Boston: AP Professional, 1998
4. S. Russell and P. Norvig. Artificial Intelligence – A Modern Approach, Prentice Hall, 2010.
Curriculum and Syllabus | B.Tech. Information Technology | R2017 Page 63
