Q11/18 L/05-15 Reg. No

St. Joseph’s College of Arts & Science (Autonomous) St. Joseph’s College Road, Cuddalore – 607001 PCA1124S - SOFT COMPUTING Time : 3 hrs

Max Marks :75 SECTION – A (5X5=25) Answer ALL Questions

1. a) How does genetic algorithm works? Explain with example. (or) b) Write a note on genetic operators. 2. a) Write a note on Perceptrons. (or) b) Write a note on. 1) Local minima 2) Network paralysis 3) Supervised learning 4) Unsupervised learning

3. a) Define fuzzy set. List the operations on fuzzy sets. (or) b) Explain the basic properties of binary logic and fuzzy logic. 4. a) Compare and contrast derivative based and derivative free optimization. (or) b) Explain the Downhill Simplex Search.

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Q11/18 L/05-15 5. a) List the applications of soft computing. (or) b) Write a note on bidirectional associative memories. SECTION - B (5X10=50) Answer any FIVE Questions 6. Explain the mathematical models of simple genetic algorithms. 7. Briefly discuss the genetic algorithms in problem solving. 8. Explain the Counter-propagation neural network. 9. Give a detailed note on Boltzmann training and Cauchy training. 10. Define fuzzy relations. Discuss the operations on fuzzy relations. 11. Explain the various applications of fuzzy logic. 12. Explain the Classical Newton’s Method. 13. Explain the application of soft computing in inverse kinematics problems automobile fuel efficiency prediction.

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SOFT COMPUTING - 04 15.pdf

1. a) How does genetic algorithm works? Explain with ... Explain the Classical Newton's Method. 13. ... Displaying SOFT COMPUTING - 04 15.pdf. Page 1 of 2.

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