Artificial Intelligence (2180703) MCQs

MCQs of Connectionist Models

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1.
A perceptron is a ______________
(a) Feed-forward neural network
(b) Backpropagation algorithm
(c) Backtracking algorithm
(d) Feed Forward-backward algorithm
Answer:

Option (a)

2.
Which of the following statement is true?
(a) Not all formal languages are context-free
(b) All formal languages are Context free
(c) All formal languages are like natural language
(d) Natural languages are context-oriented free
Answer:

Option (a)

3.
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is?
(a) 000 or 110 or 011 or 101
(b) 010 or 100 or 110 or 101
(c) 000 or 010 or 110 or 100
(d) 100 or 111 or 101 or 001
Answer:

Option (c)

4.
What is perceptron?
(a) a single layer feed-forward neural network with pre-processing
(b) an auto-associative neural network
(c) a double layer auto-associative neural network
(d) a neural network that contains feedback
Answer:

Option (a)

5.
What is an auto-associative network?
(a) a neural network that contains no loops
(b) a neural network that contains feedback
(c) a neural network that has only one loop
(d) a single layer feed-forward neural network with pre-processing
Answer:

Option (b)

6.
"Which of the following is true? (i) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works."
(a) All of the mentioned
(b) (ii) and (iii) are true
(c) (i), (ii) and (iii) are true
(d) None of the mentioned
Answer:

Option (a)

7.
"Which of the following is true for neural networks? (i) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones."
(a) All of the mentioned
(b) (ii) is true
(c) (i) and (ii) are true
(d) None of the mentioned
Answer:

Option (c)

8.
What are the advantages of neural networks over conventional computers? (i) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high ‘computational’ rates
(a) (i) and (ii) are true
(b) (i) and (iii) are true
(c) Only (i)
(d) All of the mentioned
Answer:

Option (d)

9.
"Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii)determine whether two or more shapes in a picture are connected or not"
(a) (ii) and (iii) are true
(b) (ii) is true
(c) All of the mentioned
(d) None of the mentioned
Answer:

Option (a)

10.
Which is true for neural networks?
(a) It has set of nodes and connections
(b) Each node computes it’s weighted input
(c) Node could be in excited state or non-excited state
(d) All of the mentioned
Answer:

Option (d)

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