Artificial Intelligence (2180703) MCQs

MCQs of Connectionist Models

Showing 11 to 14 out of 14 Questions
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11.
What is the name of the function in the following statement “A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0”?
(a) Step function
(b) Heaviside function
(c) Logistic function
(d) Perceptron function
Answer:

Option (b)

12.
Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
(a) True – this works always, and these multiple perceptrons learn to classify even complex problems
(b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do
(c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded
(d) False – just having a single perceptron is enough
Answer:

Option (c)

13.
The network that involves backward links from output to the input and hidden layers is called _________
(a) Self organizing maps
(b) Perceptrons
(c) Recurrent neural network
(d) Multi layered perceptron
Answer:

Option (c)

14.
Which of the following is an application of NN (Neural Network)?
(a) Sales forecasting
(b) Data validation
(c) Risk management
(d) All of the mentioned
Answer:

Option (d)

Showing 11 to 14 out of 14 Questions
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