Neural Network

Applications of Neural Networks

Question 1
Marks : +2 | -2
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 2
Marks : +2 | -2
Pass Ratio : 100%
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 3
Marks : +2 | -2
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.
Question 4
Marks : +2 | -2
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 5
Marks : +2 | -2
Pass Ratio : 100%
What is the objective of associative memories?
to store patters
to recall patterns
to store association between patterns
none of the mentioned
Explanation:
The objective of associative memories is to store association between patterns for later recall of one of patterns given the other.
Question 6
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Pass Ratio : 100%
The competition in upper subnet of hamming network continues till?
only one unit remains negative
all units are destroyed
output of only one unit remains positive
none of the mentioned
Explanation:
The competition in upper subnet of hamming network continues till output of only one unit remains positive.
Question 7
Marks : +2 | -2
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 8
Marks : +2 | -2
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 9
Marks : +2 | -2
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 10
Marks : +2 | -2
Pass Ratio : 100%
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.