# CS607-Artificial Intelligence Quiz MCQs Lecture 23-45 Finalterm Objective Questions | SUPERSTARWEBTECH

CS607-Artificial Intelligence Quiz MCQS #Objective #Questions #FinalTerm
1. Inductive Learning is based on the knowledge that if something happens a lot it is likely to be generally ___
• True ✔
• False
• Ambiguous
• None
2. If the antecedent is only partially true, then the output fuzzy set is truncated according to the ___ method.
• Intrinsic
• Implication ✔
• Boolean
• None
3. The input of aggregation process is the list of truncated output functions returned by the ___ process for each rule.
• Truncation
• Implication ✔
• Aggregation
• None
4. ___ learning works on existing facts and knowledge and deduces new knowledge from the old.
• Deductive ✔
• Inductive
• Application
• None
5. Machine learning typically follows ___ phases according to Finlay.
• Two
• Three ✔
• Four
• Five
6. Which one is NOT the phase of machine learning:
• Training
• Application
• Validation
• None ✔
7. In theoretical computer science there are two main branches of problems.
• Tractable and Intractable ✔
• Intractable and Induction
• Tractable and Induction
• None
8. ___ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.
• Aggregation ✔
• Fuzzification
• Implication
• None
9. Outputs of learning are determined by the ___
• Application ✔
• Validation
• Training
• None
10. ___ is the process of formulating the mapping from a given input to an output using Fuzzy logic.
• FIZ
• FIS ✔
• FOS
• None

11. The brain is a collection of about 100 ___ interconnected neurons.

• Million
• Billion ✔
• Trillion
• None
12. A single Perceptron simply draws a line, which is a hyper plane when the data is ___ than/to two (2) dimensional.
• More ✔
• Less
• Equal
• None
13. In Candidate-Elimination algorithm version space is represented by two sets named:
• G and S ✔
• G and F
• S and F
• H and S
14. The first step of FIND-S is to initialize h to the most specific hypothesis in ___ : h<>
• H ✔
• I
• J
• K
15. Decision trees give us disjunctions of conjunctions, that is, they have the form: (A AND B) ___ (C AND D)
• OR ✔
• AND
• XOR
• None
16. Interactive Dichotomizer uses a special function ___, to evaluate the gain information of each attribute.
• GAIN ✔
• GET
• FIND
• EVAL
17. Measure of the effectiveness of an attribute in classifying the training data is called
• Information Gain ✔
• Measure Gain
• Information Goal
• None
18. Artificial Neural Networks is a new learning paradigm which takes its roots from ___ inspired approach to learning.
• Chemistry
• Physics
• Biology ✔
• Mathematics
19. Which one is NOT the advantage of Neural Network
• Excellent for pattern recognition
• Excellent classifiers
• Handles noisy data well
• None ✔
20. In all calculations involving Entropy we define ___ to be ___
• 0 log 0, 0 ✔
• 0 log 10, 1
• 0 log 0, 1
• 1 log 1, 1