Neural Network

Applications of Neural Networks

Question 1
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 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%
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 4
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 5
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 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%
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 8
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 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%
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.