Neural Network

Applications of Neural Networks

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Associative memory, if used in feedback structure of hopfield type can function as?
data memory
cluster
content addressable memory
none of the mentioned
Explanation:
Associative memory, if used in feedback structure of hopfield type can function as content addressable memory.
Question 2
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 3
Marks : +2 | -2
Pass Ratio : 100%
Which application out of these of robots can be made of single layer feedforward network?
wall climbing
rotating arm and legs
gesture control
wall following
Explanation:
Wall folloing is a simple task and doesn’t require any feedback.
Question 4
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 5
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 6
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.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
What does the activation value of winner unit is indicative of?
greater the degradation more is the activation value of winning units
greater the degradation less is the activation value of winning units
greater the degradation more is the activation value of other units
greater the degradation less is the activation value of other units
Explanation:
Simply, greater the degradation less is the activation value of winning units.
Question 8
Marks : +2 | -2
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 9
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 10
Marks : +2 | -2
Pass Ratio : 100%
What happens in upper subnet of the hamming network?
classification
storage
output
none of the mentioned
Explanation:
In upper subnet, competitive interaction among units take place.