Neural Network

Applications of Neural Networks

Question 1
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 2
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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
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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 4
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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 5
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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 6
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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
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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
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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 9
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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 10
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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.