Neural Network

Applications of Neural Networks

Question 1
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 2
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 3
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 4
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 5
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 6
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 7
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 8
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 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 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.