Soft Computing - Dec 2014
Information Technology (Semester 8)
TOTAL MARKS: 100
TOTAL TIME: 3 HOURS (1) Question 1 is compulsory.
(2) Attempt any four from the remaining questions.
(3) Assume data wherever required.
(4) Figures to the right indicate full marks. 1 (a) Model the following as fuzzy set using suitable membership function. ?Number close to 6?(6 marks) 1 (a) Explain different fuzzy membership function.(8 marks) 1 (c) Explain fuzzy extension principle with the help of example(6 marks) 2 Design a fuzzy controller to determine the wash time of a domestic washing machine. Assume that the inputs are dirt and grease on clothes. Use three descriptors for each l/P variable. Device a set of rules for control action and defuzzification. The design should be supported by figures wherever possible. Clearly indicate that if the clothes are soiled to a larger degree the wash time required will be more.(20 marks) 3 (a) Explain Hebbian learning rule with the help of an example(10 marks) 3 (b) Explain with an example Genetic Algorithm(10 marks) 4 (a) What is learning in neural network ? Differentiate between supervised and unsupervised learning.(10 marks) 4 (b) Explain the Architecture of ANFlS with the help of a diagram.(10 marks) 5 (a) Explain FlBF Network and give the comparison between RBF and MLP.(10 marks) 5 (b) Explain error back propagation training algorithm With the help of flow chart(10 marks) 6 (a) Explain different methods of defuzzification(10 marks) 6 (b) Describe the basic Hopfield model and give the theory of energy minimization in auto associative Hopfield Network.(10 marks)
Write short notes on any two
7 (a) Kohonen's self organizing network(10 marks) 7 (b) Character recognition using neural network(10 marks) 7 (c) TSP using simulated Annealing.(10 marks)