UNIVERSITY OF KERALA - Marian Engineering College

B.Tech Comp. Sc. & Engg., University of Kerala 69
08.705 (3) NEURAL COMPUTING (ELECTIVE II) 3 – 1 – 0
Module I (18 hours)
Introduction – Brain and Computer – learning in biological systems and machines – the basic neuron –
modeling a single neuron – learning in simple neurons – the perceptron – the perceptron learning rule – proof
– limitations of perceptron – the multilayer perceptron – the multilayer perceptron learning rule – Back
Propagation network – Counter Propagation network.
Module II (16 hours)
Associative memory – introduction – the learning matrix – Hopfield networks – storage and retrieval
algorithms – the energy landscape – Bi-directional associative memory – the Boltzman machine – Boltzman
machine learning algorithm – Radial basis function networks.
Module III (18 hours)
Kohonen self organizing networks – introduction – the Kohonen algorithm – weight training –
neighbourhoods – reducing the neighbourhood – learning vector quantization – the phonetic typewriter –
Adaptive resonance theory (ART) – architecture and operation – ART algorithm – training the ART
network – classification – application of neural networks.
Text Books:
1. Neural Computing: An Introduction – Beale R. and Jackson T., IOP Publishing Ltd/Adam Hilger.
Reference Books:
1. Neural Computing: Theory and practice – Philip D. Wasserman, Van Nostrand Reinhold Co publishing
2. Neural Networks Algorithms, Applications and Programming Techniques – J.A. Freeman and D.M. Skapura,
Addison-Wesley/Pearson Education.
3. Fundamentals of Neural Networks: Architectures, Algorithms, and Applications – L. Fausett,
Prentice Hall Inc./Pearson Education.
4. Artificial Neural networks – B. Yegnanarayana, PHI
5. Neural Networks: A Classroom Approach – S. Kumar, Tata McGraw Hill Publishing Company Ltd.
Internal Continuous Assessment (Maximum Marks-50)
25 Marks - Tests (minimum 2)
15 Marks - Assignments (minimum 3) such as home work, problem solving, literature survey, seminar,
term-project, software exercises, etc.
10 Marks - Regularity in the class
University Examination Pattern
PART A: Short answer questions 10 x 4 marks=40 marks
All questions are compulsory. There should be at least three questions
from each module and not more than four questions from any module.
PART B: Descriptive/Analytical/Problem solving questions 3 x 20 marks=60 marks
Candidates have to answer one question out of two or two questions
out of four from each module
Maximum Total Marks: 100