Page 85 - R2017 Final_BE Biomedical Curriculum and Syllabus - REC

Department of BME, REC

UNIT IV FUZZY SET THEORY 9
Introduction to Neuro – Fuzzy and Soft Computing – Fuzzy Sets – Basic Definition and
Terminology– Set-theoretic Operations – Member Function Formulation and Parameterization –
Fuzzy Rules and Fuzzy Reasoning – Extension Principle and Fuzzy Relations – Fuzzy If-Then
Rules –Mamdani Fuzzy Models – Tsukamoto Fuzzy Models.

UNIT V ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS 9
Definition, Motivation for computer assisted decision making, Knowledge representation-
Production rules, Frames, Predicate calculus and Semantic nets, Knowledge acquisition,
Reasoning methodologies- Problem representation, Search, Dempster - shafer theory, Evaluation.
Expert systems - Basic concepts of Expert system, Structure of Expert system.

TOTAL: 45 PERIODS
OUTCOMES:
At the end of the course, the student should be able to:
• Understand the basics of artificial intelligence.
• Understand and apply optimization techniques.
• Use fuzzy logic.
• Develop simple neural network based algorithms.
• Use a neural network to solve real-world problems.

TEXT BOOKS:
1. J.S.R.Jang, C.T.Sun and E.Mizutani, ―"Neuro-Fuzzy and Soft Computing", PHI, 2004,
Pearson Education 2004.
2. N.P.Padhy, ―"Artificial Intelligence and Intelligent Systems", Oxford University Press,
2006.
3. S.N.Sivanandam and S.N.Deepa, "Principles of Soft Computing", Wiley India Pvt Ltd, 2011.

REFERENCES:
1. Timothy J. Ross, ―"Fuzzy Logic with Engineering Applications", Wiley, Fourth Edition,
2016.
2. Davis E. Goldberg, ―"Genetic Algorithms: Search, Optimization and Machine Learning",
Pearson Education India, 2013.
3. S. Rajasekaran and G.A.V. Pai, ―"Neural Networks, Fuzzy Logic and Genetic Algorithms",
PHI, 2006.
4. R. Eberhart, P. Simpson and R. Dobbins, ―"Computational Intelligence - PC Tools", AP
Professional, Boston, 1996.
5. Elaine Rich & Kevin Knight, ―"Artificial Intelligence", Second Edition, Tata McGraw Hill
Publishing Comp., New Delhi, 2006.
6. Simon Haykin, ―"Neural Networks Comprehensive Foundation", Second Edition, Pearson
Education, 2005.

BM17E12 NANOTECHNOLOGY AND APPLICATIONS L T P C
3 0 0 3

OBJECTIVES
• To understand the basic scientific concepts underpinning nanoscience
• To understand the multidisciplinary aspects of synthesizing nanomaterials
• To understand the different types of nano materials
• To demonstrate specifically the characterization tools used in nanotechnology
Curriculum and Syllabus | B.E Biomedical Engineering | R 2017 Page 85