Soft Computing Mock Test

1. When we say that the boundary is crisp

2. In computing the output is called as

3. Fuzzy logic is a form of

4. Control actions while computing should be

5. Core of soft computing is

6. The intersection of two fuzzy sets is the of each element from two sets

7. Genetic algorithm belong to the family of method in the

8. The process of fuzzy interference system involes

9. Which of the folloowing is not defuzzifier method

10. Fuzzy Computing

11. Hard computing is also called as

12. Which computing produces accurate results

13. can a crisp set be a fuzzy set?

14. All of the follwing are suitable problem for genetic algorithm EXCEPT

15. Neural network computing

16. Tabu search is an example of ?

17. How does blind search differ from optimization

18. Genetic algorithms are example of

19. What does the 0 membership value means in the set

20. mutation is applied on candidates.

21. recombination is applied on candidates.

22. What does a fuzzifier do

23. LCS belongs to based methods?

24. Artificial neural network is used for

25. Evolutionary programming was developef by

26. doesnot usually allow decision makers to see how a solution to a en

27. Any soft-computing methodology is characterised by

28. EC stands for?

29. decides who becomes parents and how many children the parents have.

30. Multiple conjuctives antecedents is method of____in FLC

31. Basic elements of EA are ?

32. in ES survival is

33. GA stands for

34. Evolution Strategies typically uses

35. LCS stands for

36. What Are The Two Types Of Fuzzy Inference Systems?

37. GBML stands for

38. Evolution Strategies is developed with

39. For what purpose Feedback neural networks are primarily used?

40. A fuzzy set wherein no membership function has its value equal to 1 is called

41. Operations in the neural networks can perform what kind of operations?

42. What is ART in neural networks?

43. What is the first step in Evolutionary algorithm

44. IF x is A and y is B then z=c (c is constant), is

45. Elements of ES are/is

46. In Evolutionary programming, recombination is

47. In Evolutionary programming,

48. Termination condition for EA

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