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C9-R4 Page 1 of 1 January, 2017
C9-R4: SOFT COMPUTING
NOTE:
Time: 3 Hours Total Marks: 100
1.
What is soft computing? Differentiate between soft computing and hard computing.
Genetic algorithms are different from traditional optimization methods. Highlight the key
features of GA.
Explain Genetic Fuzzy Systems in brief.
Briefly discuss Roulette wheel selection method in GA.
Highlight some of the key characteristics of derivative free optimization
What are various application areas of Adaptive Neuro-Fuzzy Inference Systems
Define activation function and its types, applied for ANN problems.

2.
Elaborate fuzzy filtered neural networks? What are its advantages of use? Explain its
applications.
Reinforcement learning is a popular method used in machine learning to produce intelligent
programs. Justify the statement by giving a suitable example.
Briefly discuss Hill Climbing search technique.

3.
Simulated annealing is a probabilistic search technique. Briefly discuss SA. In order to
apply the SA method to a specific problem, one must specify some parameters. Discuss those
parameters in brief.
Discuss supervised and unsupervised learning techniques with suitable example.

4.
Considering a configuration of L-input neurons, m-hidden neurons, and n-output neurons, draw
the architecture of Fuzzy Back Propagation System and discuss the computations carried out by
each layer.
In context of Genetic Algorithms discuss the crossover operator and its types with example.

5.
Why Encoding for Genetic Algorithm based solution of a problem is required? Discuss Binary
Encoding, Value Encoding, Permutation Encoding, and Tree Encoding with examples.
Briefly discuss Neuro-Genetic Hybrid system and its limitations.

6.
Discuss least square estimation technique and differentiate between linear and nonlinear least
squares. Give appropriate example of each.
Define a Neuro-fuzzy system and briefly discuss its properties.

7.
Discuss the Adaptive Neuro Fuzzy Inference Systems (ANFIS) architecture.
For the two fuzzy sets A and given below, compute: AUB A∩B and
A 0.2/1, 0.4/2, 0.6/3, B 0.5/1, 0.7/2, 0.3/3,
(12
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.