Neural Network

Applications of Neural Networks

Question 1
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 2
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 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 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 true about single layer associative neural networks?
performs pattern recognition
can find the parity of a picture
can determine whether two or more shapes in a picture are connected or not
none of the mentioned
Explanation:
It can only perform pattern recognition, rest is not true for a single layer neural.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
How can optimization be applied in images?
by use of simulated annealing
by attaching a feedback network
by adding an additional hidden layer
none of the mentioned
Explanation:
Optimization be applied in images by use of simulated annealing to formulate the problem as energy minimization problem.
Question 7
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 8
Marks : +2 | -2
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 9
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 10
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.