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NEURAL NETWORKS & FUZZY LOGIC IN MEDICINE
Sub code: LBI121 IA marks: 50
Hrs /week: 04 Exam hours :03
Total hrs: 52 Exam marks: 100
Learning and soft computing: Examples, basic tools of soft computing, basic
mathematics of soft computing, learning and statistical approaches to regression and
classification. 06Hrs
Single Layer networks: Perception, adaptive linear neuron (Adaline) and thee LMS
algorithm. 07Hrs
Multilayer Perception: Error back propagation algorithm, generalized delta rule, practical
aspects of error back propagation algorithm. 07Hrs
Radial Basis Function networks: ill posed problems and regularization technique,
stabilizers and basis functions, generalized radial basis function networks. 08Hrs
Fuzzy Logic Systems: Basics of fuzzy logic theory, mathematical similarities between
neural networks and fuzzy logic models, fuzzy additive models. 08Hrs
Support Vector Machines: Risk minimization principles and the concept of uniform
convergence, VC dimension, structural risk minimization, support vector machine
algorithms. 08Hrs
Case Studies: Neural network based adaptive control, computer graphics.
08Hrs
Text Books:
1. Vojislav Kecman, “Learning and soft computing”, Pearson Education (Asia) Pte.
Ltd.2004.
15
2. S.Haykin, “Neural networks: A Comprehensive Foundation”’ Pearson Education
(Asia) Pte. Ltd/Prentice Hall of India, 2003.
3. M.T.Hagan, H.B.Demuth and M. Beale, “Neural Network Design”, Thomson
Learning, 2002.
Reference Books:
1. Bart Kosko, “Neural Networks and Fuzzy Systems”’ prentice Hall of India, 2005
2. George J. Klir and Bo yaun, “Fuzzy sets and Fuzzy Logic:Theory and
Application”, Prentice Hall of India, 2001
For more details, visit http://www.vtu.ac.in
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