Neural Network

Applications of Neural Networks

Question 1
Marks : +2 | -2
Pass Ratio : 100%
which of the following is false?
neural networks are artificial copy of the human brain
neural networks have high computational rates than conventional computers
neural networks learn by examples
none of the mentioned
Explanation:
All statements are true for a neural network.
Question 2
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Pass Ratio : 100%
In control applications, how many ways are there to control a plant?
1
2
4
infinite
Explanation:
Open loop and feedback loop are the two ways.
Question 3
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Pass Ratio : 100%
Are classification methods based on correlation matching using moment features useful for problems of handwritten characters?
yes
no
Explanation:
Because different parts of handwritten characters are deformed differently.
Question 4
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Pass Ratio : 100%
Can Invariances be build as static functions in the structure?
yes
no
Explanation:
Invariances have to be dynamically estimated from data.
Question 5
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Pass Ratio : 100%
What are pros of neural networks over computers?
they have ability to learn b examples
they have real time high computational rates
they have more tolerance
all of the mentioned
Explanation:
Because of their parallel structure, they have high computational rates than conventional computers, so all are true.
Question 6
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Which is one of the application of associative memories?
direct pattern recall
voice signal recall
mapping of the signal
image pattern recall from noisy clues
Explanation:
The objective of associative memories is to store association between patterns for later recall of one of patterns given the other, so noisy versions of the same image can be recalled.
Question 7
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Pass Ratio : 100%
Which is the most direct application of neural networks?
vector quantization
pattern mapping
pattern classification
control applications
Explanation:
Its is the most direct and multilayer feedforward networks became popular because of this.
Question 8
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In feedforward network, the associations corresponding to input – output patterns are stored in?
activation state
output layer
hidden layer
none of the mentioned
Explanation:
In feedforward network, the associations corresponding to input – output patterns are stored in weights of the network.
Question 9
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Pass Ratio : 100%
For what purpose, hamming network is suitable?
classification
association
pattern storage
none of the mentioned
Explanation:
Hamming network performs template matching between stored templates and inputs.
Question 10
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Pass Ratio : 100%
Is it possible to capture implicit reasoning process by patten classification network?
yes
maybe
no
cannot be determined
Explanation:
For example neural network for contract bridge game.