CS607 Final Term Solved MCQs Set 2 by Junaid

Q1. Soft-computing is naturally applied in machine learning applications

1. True

PG # 205

1. False

Q2. Genetic algorithms have been employed in finding the optimal initial weights of neural networks.

1. True

PG # 205

1. False

Q3. Which is/are clustering algorithm(s)

1. Self-organizing maps
2. k-means
3. Linear vector quantization
4. All of the given

PG # 205

4. Any given learning problem is primarily composed of things

1. 4
2. 3

PG # 164

1. 1
2. 2

Q5. Fuzzy logic is a subset of conventional (Boolean) logic.

1. True
2. False

PG # 147

Q6. A square is used to represent a Fuzzy set.

1. True
2. False

PG # 151

Q7. Which one is not step involved in the planning phase of Linear model for expert systems

1. Feasibility assessment
2. Resource allocation
3. Task phasing and scheduling
4. None of the given

PG # 129

8. . reasoning is used when the facts of the case are likely to change after some time

1. Non-Monotonic

PG # 103

1. Common-sense
2. Analogical
3. Abductive

Q9. A statement in conjunctive normal form (CNF) consists of

1. Ors of ANDs
2. ANDs
3. ANDs of Ors.

PG # 107

1. Ors
2. An expert system may take main roles, relative to the human expert.

1. Two

PG # 113

1. Three
2. Four
3. Five

Correct answer: Three

Q11. Backward chaining is an inference strategy that works backward from a to a

1. Hypothesis, Proof

PG # 126

1. Proof, Hypothesis
2. Hypothesis, Experiment
3. Proof, Conclusion

Q12. Which one is the general stage of the expert system development life cycle:

1. Feasibility study
2. Rapid prototyping
3. Alpha system (in-house verification)
4. All of the given

PG # 129

Q13. In CLIPS, the command to load file is:

1. CLIPS (load “filename.clp”)

PG # 137

1. CLIPS (load “filename”)
2. CLIPS ( “filename.clp”)
3. CLIPS ( open “filename.clp”)

Q14. In Linear Model, a linear sequence of steps is applied repeatedly in an iterative fashion to develop the Expert System.

1. True

PG # 129

1. False

15. is the bottleneck in the construction of expert system.

1. Planning
2. Knowledge acquisition

Correct answer: Knowledge acquisition

PG # 130

1. Knowledge Design
2. Code

Q16. Select the category that does NOT belong to Elicitation methods.

1. Direct methods
2. Indirect methods
3. Informal discussions
4. Formal discussions

Correct answer: Formal discussions

PG # 131

Q17. Inference networks encode the knowledge of rules and

1. Facts
2. strategies

PG # 132

1. conditions
2. none of the given

Q18. .A classical set is a container, which wholly includes or wholly excludes any given element.

1. True

PG # 145

1. False

19. is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.

1. Aggregation

PG # 157

1. Fuzzification
2. Implication
3. None of the given
4. Aggregation only occurs once for each output variable, just after the fifth and final step, defuzzification.

1. True

PG # 157

1. False

Q21. Machine learning is a prerequisite for any mature program of artificial intelligence

1. True

PG # 160

1. False

Q22. Many machine learning systems are classifiers.

1. True

PG # 161

1. False

Q23. Fuzzy inference systems (FIS) are associated with a number of names

1. True

PG # 153

1. False

Q24. Hypothesis space uses the

1. Conjunctions (AND)

PG # 168

1. Disjunctions (OR)
2. Negation (NOR)
3. None of the given

Q25. A drawback of FIND-S is that, it assumes the consistency within the training set.

1. True

PG # 173

1. False

Q26. The Candidate-Elimination algorithm represents the

1. Version Space

PG # 173

1. Solution Space
2. Elimination Space
3. None of the given

Q27. The first step of FIND-S is to initialize h to the most specific hypothesis in h = < Ø , Ø >

1. H PG # 172
2. I
3. J
4. K

Correct answer: H PG # 172

Q28. The Entropy is 1 when the collection contains number of positive examples to/than negative examples.

1. Equal

PG # 177

1. Greater
2. Less
3. None of the given

Correct answer: Greater

29. Artificial Neural Networks is a new learning paradigm which takes its roots from inspired approach to learning.

1. Chemistry
2. Physics
3. Biology

Correct answer: Biology