Exam Details
| Subject | elective: soft computing | |
| Paper | ||
| Exam / Course | m.sc. computer science | |
| Department | ||
| Organization | alagappa university | |
| Position | ||
| Exam Date | November, 2017 | |
| City, State | tamil nadu, karaikudi |
Question Paper
M.Sc. DEGREE EXAMINATION, NOVEMBER 2017
Third Semester
Computer Science
Elective: SOFT COMPUTING
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. What is meant by soft computing?
2. Define expert system.
3. What are the advantages of genetic algorithm?
4. Define search space.
5. What is meant by Perception?
6. Expand the terms RBFN and FIS.
7. Define Fuzzy set.
8. List out the purpose of Fuzzy Reasoning.
9. What do you mean by Decision tree?
10. Mention the important features of CART.
Sub. Code
4MCE3E1
AFF-4964
2
Wk10
Part B x 5 25)
Answer all questions.
11. What are the applications of soft computing?
Explain.
Or
Discuss the importance of Machine Intelligence.
12. How Genetic Algorithm is different from other
Conventional Optimization Techniques?
Or
Narrate the important applications of Genetic
Algorithms.
13. Write short notes on ADALINE.
Or
Discuss the main objectives of Reinforcement
Learning.
14. Explain the various operations on Fuzzy set.
Or
Enumerate the salient features of Fuzzy Decision
Making.
15. Discuss the significance of tree pruning in CART.
Or
What do you mean by Clustering? Explain its
Categories.
AFF-4964
3
Wk10
Part C x 10 30)
Answer any three questions.
16. Describe the main characteristics of soft computing with
suitable illustrations.
17. Explain briefly about Machine Learning Approach to
Knowledge Acquisition.
18. Discuss in detail about Back Propagation Network with
neat sketch.
19. Give a detailed note on Fuzzy inference system.
20. Explain in detail about inverse learning with appropriate
examples.
————————
Third Semester
Computer Science
Elective: SOFT COMPUTING
(CBCS 2014 onwards)
Time 3 Hours Maximum 75 Marks
Part A (10 x 2 20)
Answer all questions.
1. What is meant by soft computing?
2. Define expert system.
3. What are the advantages of genetic algorithm?
4. Define search space.
5. What is meant by Perception?
6. Expand the terms RBFN and FIS.
7. Define Fuzzy set.
8. List out the purpose of Fuzzy Reasoning.
9. What do you mean by Decision tree?
10. Mention the important features of CART.
Sub. Code
4MCE3E1
AFF-4964
2
Wk10
Part B x 5 25)
Answer all questions.
11. What are the applications of soft computing?
Explain.
Or
Discuss the importance of Machine Intelligence.
12. How Genetic Algorithm is different from other
Conventional Optimization Techniques?
Or
Narrate the important applications of Genetic
Algorithms.
13. Write short notes on ADALINE.
Or
Discuss the main objectives of Reinforcement
Learning.
14. Explain the various operations on Fuzzy set.
Or
Enumerate the salient features of Fuzzy Decision
Making.
15. Discuss the significance of tree pruning in CART.
Or
What do you mean by Clustering? Explain its
Categories.
AFF-4964
3
Wk10
Part C x 10 30)
Answer any three questions.
16. Describe the main characteristics of soft computing with
suitable illustrations.
17. Explain briefly about Machine Learning Approach to
Knowledge Acquisition.
18. Discuss in detail about Back Propagation Network with
neat sketch.
19. Give a detailed note on Fuzzy inference system.
20. Explain in detail about inverse learning with appropriate
examples.
————————
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