Neural Network and Fuzzy Logic MCQ Questions and Answers Quiz

51. What are present in the planning graph?

  1. Sequence of levels
  2. Literals
  3. Variables
  4. Heuristic estimates

52. What cant be done in the semantic interpretation?

  1. Logical term
  2. Complete logical sentence
  3. Both a & b
  4. None of the mentioned

53. What does the Bayesian network provides?

  1. Complete description of the domain
  2. Partial description of the domain
  3. Complete description of the problem
  4. None of the mentioned

54. What does the Bayesian network provides?

  1. Complete description of the domain
  2. Partial description of the domain
  3. Complete description of the problem
  4. None of the mentioned

55. What is called inconsistent support?

  1. If two literals are not negation of other
  2. If two literals are negation of other
  3. Mutually exclusive
  4. None of the mentioned

56. What is meant by compositional semantics?

  1. Determining the meaning
  2. Logical connectives
  3. Semantics
  4. None of the mentioned

57. What is meant by persistence actions?

  1. Allow a literal to remain False Statement
  2. Allow a literal to remain True Statement
  3. Both a & b
  4. None of the mentioned

58. What is meant by probability density function?

  1. Probability distributions
  2. Continuous variable
  3. Discrete variable
  4. Probability distributions for Continuous variables

59. What is meant by quasi-logical form?

  1. Sits between syntactic and logical form
  2. Logical connectives
  3. Both a & b
  4. None of the mentioned

60. What is needed to make probabilistic systems feasible in the world?

  1. Reliability
  2. Crucial robustness
  3. Feasibility
  4. None of the mentioned
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MCQ Multiple Choice Questions and Answers on Neural Network and Fuzzy Logic

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Neural Network and Fuzzy Logic Question and Answer

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