Ph.D. Course Work Examination June July 2017
ELECTRONICS ENGINEERING (Paper IV)
Advanced Development in Soft Computing Paradigms
Day Date: Friday, 30-06-2017 Max. Marks: 100
Time: 11.00 AM to 02.00 PM
Instructions: All questions are compulsory.
Figure to the right indicates full marks.
Assume suitable data if necessary.
Q.1 Explain the following any two:
Genetic Programming 16
Fuzzy Pattern Recognition
Fuzzy Database
Q.2 Write short notes on the following any two: 16
Fuzzy Sets Vs. Crisp Sets
Fuzzy Image Processing
Boltzmann Machine
Q.3 Attempt any three questions: 18
What is Adaptive Resonance Theory? Explain
What are the various Tools and Techniques useful for Soft
computing? Write the Applications of Soft computing.
Give a detailed description of Operations on Fuzzy Sets.
Explain Fuzzy Logic in detail. Give its Applications.
Q.4 Attempt any two questions: 16
How interference in fuzzy logic can be achieved?
Give a brief account of all the Fuzzy algorithms.
Explain Fuzzifications and Defuzzifications concept.
Q.5 Attempt any two questions: 16
Give a detailed description of various Artificial Neural network
architectures.
Give a detailed description of various learning techniques.
Explain Adaptive Resonance Theory in detail. Write their
Applications.
Q.6 Write short notes on the following any three: 18
Rough Sets
Decision Tables and their Applications
Neural-Network-Based Fuzzy Systems
Genetic Algorithms for Neural Network