Download PTU M.Tech. EE 2nd Semester 76108 AI TECHNIQUES Question Paper

Roll No.

Total No. of Pages : 02

Total No. of Questions : 8

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M.Tech. (EE) (2018 Batch) (Sem.-2)

AI TECHNIQUES

Subject Code : MTEE-204C-18

M.Code: 76108

Time: 3 Hrs.

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Max. Marks : 60

INSTRUCTIONS TO CANDIDATES :

1. Attempt any FIVE questions out of EIGHT questions.
2. Each question carries TWELVE marks.

1. What is a biological neuron? How does the artificial neural network based on biological neuron? Explain with a neat diagram. What is the difference between bias and activation function? What are the types of neural networks? Explain. (12)

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2. How does the fuzzy value differ from crisp value? How does the fuzzy logic controller work? Explain with a block diagram. What are the advantages of fuzzy logic over conventional logic? Discuss with a suitable example. (12)
3. How do hybrid fuzzy neural network systems work? Explain any one algorithm which makes a neural network learn the parameters of the network like genetic algorithms. (12)
4. Explain the following :
   1. Feedback and feed-forward network (6)
   2. Single-layer and multilayer network (6)

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5. What are genetic algorithms? How do they work? How do reproduction crossover and mutation occur in genetic algorithms? Explain with a suitable diagram and example. List applications of genetic algorithms. (12)
6. 1. What is fuzzification? Why is fuzzification done? What is membership in fuzzy? What does it signify? (4)
   2. How is defuzzification done? Discuss seven defuzzification methods. (8)
7. How are Fuzzy logic, Neural network, fuzzy neural network and genetic algorithm related to each other or what is the difference in their applications? Elaborate. Also what are evolutionary algorithms? (12)

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8. 1. What is back propagation algorithm? How does it work? Explain with application. (6)
   2. Develop a temperature and humidity process control system using a fuzzy logic controller and explain the working. (6)

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