Semester : SEMESTER 6
Subject : Soft Computing
Year : 2019
Term : MAY
Scheme : 2015 Full Time
Course Code : EE 368
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Reg No.:_. Name:
APJ ABDUL KALAM TECHNOLOGICAL UNIVERSITY
SIXTH SEMESTER B.TECH DEGREE EXAMINATION(R&S), MAY 2019
Course Code: EE368
Course Name: SOFT COMPUTING
Max. Marks: 100 Duration: 3 Hours
PARTA
Answer all questions, each ೦1171055 marks. Marks
1 Compare the structure of a biological neuron with an artificial neuron. (5)
2 What is a perceptron? Explain the training process in perceptron. (5)
9 With a neat block diagram explain the functionality of a Fuzzy Expert System. (5)
4 Compare and contrast Mamdani and Sugeno fuzzy control models. (5)
5 Briefly explain any two methods used for selection process in GA (5)
6 Explain different types of crossover used in a genetic algorithm (5)
7 What is a linear learning machine (5)
8 List out any 5 applications of support vector machines (5)
PART 13
Answer any two full questions, each carries10 marks.
9 Explain back propagation algorithm with the help of a block diagram and ೩ (10)
suitable example
10 a) Describe the various soft computing constituents (5)
b) List out any five operations possible on fuzzy sets (5)
11 a) Explain reinforcement learning with the help of a block diagram (5)
b) What is adaptive resonance architecture (5)
PART ட
Answer any two full questions, each carries10 marks.
12 Explain Adaptive Neuro-Fuzzy Inference System (ANFIS) with the help of a (10)
block diagram
13 a) Describe classification tree (5)
b) Explain rule-base structure identification in a fuzzy system (5)
14 Explain any one data clustering algorithm (10)
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