C9-R4 Page 1 of 2 July, 2016
C9-R4: SOFT COMPUTING
NOTE:
Time: 3 Hours Total Marks: 100
1.
What is soft computing? Mention the application areas of soft computing.
What is learning in neural network? Differentiate between supervised learning and unsupervised
learning.
Describe alpha cut set and cardinality of a Fuzzy set.
Find for X and 0.0/-2 0.6/0 1.0/1 0.6/2 0.3/3 0.4/4.
If α 0.3 and 0.3 α 0.6 and 0.6 α 1.
Draw the block diagram of a Fuzzy logic system.
Compare soft computing and hard computing.
Explain defuzzification and discuss the advantages of Fuzzy controller.
Describe the main function of cross over operation in Genetic Algorithm.

2.
What are the purposes of Fitness Function? Explain Fitness scaling, Fitness Windowing,
Fitness ranking and fitness evaluation in detail.
Explain McCulloch- Pitts model for an artificial neuron.
Write Hebbian learning algorithm.

3.
Explain back propagation multi layer perceptrons.
Explain Fuzzy Inference Systems.
How Fuzzy Filtered Neural Network works? Draw and explain the architecture of Fuzzy Filtered
neural network.

4.
How crossover is performed? Explain various crossover techniques of genetic algorithm with an
example.
Describe common characteristics which have been shared by derivative Free Optimization.
Define System identification and list out different purposes of system identification. Give iterative
algorithm for System identification.

5.
List the different types of Neuro-Fuzzy System. Explain each with block diagram.
What are the limitations of GA and when does one go for GA?
Distinguish between forward mutations and reversions. Which forward mutation would be more
likely to undergo a reversion, a transition or a transversion? Explain.

6.
What are the objectives of fuzzy IF-THEN rules in combinatorial optimization problem? Write a
basic genetic algorithm for selecting fuzzy IF- THEN rules.
Define Objective function, Generating Function and Acceptance function. Describe the basic
steps involved in a general Simulated Annealing method.
Differentiate between Conventional System and Expert System

1. Answer question 1 and any FOUR from questions 2 to 7.
2. Parts of the same question should be answered together and in the same
sequence.
C9-R4 Page 2 of 2 July, 2016
7.
For the following Rule Set, draw the ANFIS Architecture. Explain the function performed in each
layer.
Rule If x is A1 and y is B1, then f1=p1x+q1y+r1;
Rule If x is A2 and y is B2, then f2=p2x+q2y+r2;
What is an evolution strategy? How is it implemented?
Explain Roulette wheel selection technique in detail.