Neural Networks Mcqs

Q:

What is asynchronous update in neural netwks?

A) output units are updated sequentially B) output units are updated in parallel fashion
C) can be either sequentially or in parallel fashion D) none of the mentioned
 
Answer & Explanation Answer: A) output units are updated sequentially

Explanation: Output are updated at different time in the networks.

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1020
Q:

What is true regarding backpropagation rule?

A) it is a feedback neural network B) actual output is determined by computing the outputs of units for each hidden layer
C) hidden layers output is not all important, they are only meant for supporting input and output layers D) none of the mentioned
 
Answer & Explanation Answer: B) actual output is determined by computing the outputs of units for each hidden layer

Explanation: In backpropagation rule, actual output is determined by computing the outputs of units for each hidden layer.

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449
Q:

What is the objective of backpropagation algorithm?

A) to develop learning algorithm for multilayer feedforward neural network B) to develop learning algorithm for single layer feedforward neural network
C) to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly D) none of the mentioned
 
Answer & Explanation Answer: C) to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly

Explanation: The objective of backpropagation algorithm is to to develop learning algorithm for multilayer feedforward neural network, so that network can be trained to capture the mapping implicitly.

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400
Q:

What is competitive learning?

A) learning laws which modulate difference between synaptic weight & output signal B) learning laws which modulate difference between synaptic weight & activation value
C) learning laws which modulate difference between actual output & desired output D) none of the mentioned
 
Answer & Explanation Answer: A) learning laws which modulate difference between synaptic weight & output signal

Explanation: Competitive learning laws modulate difference between synaptic weight & output signal.

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333
Q:

Number of output cases depends on what factor?

A) number of inputs B) number of distinct classes
C) total number of classes D) none of the mentioned
 
Answer & Explanation Answer: B) number of distinct classes

Explanation: Number of output cases depends on number of distinct classes.

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303
Q:

Intersection of linear hyperplanes in three layer network can only produce convex surfaces, is the statement true?

A) yes B) no
 
Answer & Explanation Answer: A) yes

Explanation: Intersection of linear hyperplanes in three layer network can only produce convex surfaces.

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266
Q:

Drawbacks of template matching are?

A) time consuming B) highly restricted
C) more generalized D) none of the the mentioned
 
Answer & Explanation Answer: B) highly restricted

Explanation: Point to point pattern matching is carried out in the process.

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252
Q:

What’s the main point of difference between human & machine intelligence?

A) human perceive everything as a pattern while machine perceive it merely as data B) human have emotions
C) human have more IQ & intellect D) human have sense organs
 
Answer & Explanation Answer: A) human perceive everything as a pattern while machine perceive it merely as data

Explanation: Humans have emotions & thus form different patterns on that basis, while a machine(say computer) is dumb & everything is just a data for him.

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