Neural Network and Fuzzy Logic Multiple Choice Questions and Answers for Practice

16. Factors which affect the performance of learner system does not include

1. Representation scheme used
2. Training scenario
3. Type of feedback
4. Good data structures

17. From where did the new fact inferred on new iteration is derived?

1. Old fact
2. Narrow fact
3. New fact
4. All of the mentioned

18. Fuzzy logic is a form of

1. Two-valued logic
2. Crisp set logic
3. Many-valued logic
4. Binary set logic

19. Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth.

1. True Statement
2. False Statement

20. Fuzzy logic is usually represented as

1. IF-THEN-ELSE rules
2. IF-THEN rules
3. Both a & b
4. None of the mentioned

21. How many conditions are available between two actions in mutex relation?

1. 1
2. 2
3. 3
4. 4

22. How many possible sources of complexity are there in forward chaining?

1. 1
2. 2
3. 3
4. 4

23. How many terms are required for building a Bayesian model?

1. 1
2. 2
3. 3
4. 4

24. How many types of informed search method are in artificial intelligence?

1. 1
2. 2
3. 3
4. 4

25. How many types of learning are available in machine learning?

1. 1
2. 2
3. 3
4. 4

26. How many types of quantification are available in artificial intelligence?

1. 1
2. 2
3. 3
4. 4

27. How many types of random variables are available?

1. 1
2. 2
3. 3
4. 4

28. How many verb tenses are there in English language?

1. 1
2. 2
3. 3
4. 4

29. How the Bayesian network can be used to answer any query?

1. Full distribution
2. Joint distribution
3. Partial distribution
4. All of the mentioned

30. How the compactness of the Bayesian network can be described?

1. Locally structured
2. Fully structured
3. Partial structure
4. All of the mentioned