Neural Network

Applications of Neural Networks

Question 1
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 2
Marks : +2 | -2
Pass Ratio : 100%
What does the matching score at first layer in recognition hamming network is indicative of?
dissimilarity of input pattern with patterns stored
noise immunity
similarity of input pattern with patterns stored
none of the mentioned
Explanation:
Matching score is simply a indicative of similarity of input pattern with patterns stored.
Question 3
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 4
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 5
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 6
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 7
Marks : +2 | -2
Pass Ratio : 100%
Neuro – Fuzzy systems can lead to more powerful neural network?
yes
no
may be
cannot be determined
Explanation:
If fuzzy logic is incorporated into conventional ANN models, more powerful systems can be created.
Question 8
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 9
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 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.