CS607 Final Term MCQs by Arshad and Asif

Which one is NOT the feature of Robot?

1. Reasoning, dealing with uncertainty
2. Vision, learning
3. Autonomy, physical Intelligence
4. None (Page 204)

Correct answer: None (Page 204)

Robotics has active contributions from__________

1. Biology
2. Psychology
3. Mathematics
4. All of the given

Correct answer: All of the given

(Page 204)

In ANNs, MSE is known as

1. Most squared error
2. Mean squared error (Page 189)
3. Medium squared error
4. None of the given

Which one is the advantage of Neural Network.

1. Good for generalization (Page 187)
2. The power of ANNs lie in their parallel architecture
3. Less defined rules to build a natural network
4. Knowledge implicit

Correct answer: Good for generalization (Page 187)

The soma and the enclosed nucleus in neuron play a significant role in the processing of incoming and outgoing data.

1. True
2. False (Page 181)

Correct answer: False (Page 181)

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

1. Equal

(Page 177)

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

In all calculations involving Entropy we define _________ to be ______

1. 0 log 0, 0

(Page 177)

1. 0 log 10, 1
2. 0 log 0, 1
3. 1 log 1, 1

If the true output of a concept [c(xi)] is 1 or 0 for an instance, then the output by our hypothesis [h(xi)] is 1 or 0 as well, respectively.

1. True (Page 177)
2. False

Correct answer: True (Page 177)

Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally

1. True (Page 160)
2. False
3. Ambiguous
4. None of the given

Correct answer: True (Page 160)

Machine learning typically follows ___________ phases according to Finlay.

1. 2
2. 3 (Page 160)
3. 4
4. 5

Correct answer: 3 (Page 160)

Which statement about learning is true:

1. Learning is constructing or modifying representations of what is being experienced
2. Learning denotes changes in a system that enables a system to do the same task more efficiently the next time.
3. Learning is making useful changes in our minds.
4. All of the given

Correct answer: All of the given

(Page 159)

The most popular defuzzification method is the centroid calculation.

1. True (Page 158)
2. False

Correct answer: True (Page 158)

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

1. Aggregation (Page 157)
2. Fuzzification
3. Implication
4. None of the given

Correct answer: Aggregation (Page 157)

If there are multiple parts to the antecedent, apply fuzzy logic _________ and resolve the antecedent to a single number between 0 and 1.

1. Operators

(Page 153)

1. Rules
2. Conditions
3. None of the given

Usually a _________ graph is chosen to represent a fuzzy set.

1. Triangular

(Page 151)

1. Circular
2. Conical
3. None of the given

Reasoning in fuzzy logic is just a matter of generalizing the familiar _________ logic.

1. Boolean

(Page 147)

1. Complex
2. Coagnitive
3. Supervised

___________ is a subfield of __________.

1. Computer vision, Artificial Intelligence

(Page 203)

1. Robotics, Artificial Intelligence
2. Soft computing, Artificial Intelligence
3. None of these

Each neuron in the hidden layer is responsible for a different _______.

1. Line (Page 186)
2. Layer
3. Phase
4. None of these

Correct answer: Line (Page 186)

_________ is the process of formulating the mapping from a given input to an output using Fuzzy logic.