gs gs127 Architectures for Complex Pattern and Applications of ANN - Applications of Neural Networks - Quiz No.1
gs gs127 SQLite Quiz
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Question 1: 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
Question 2: Which is the most direct application of neural networks?
vector quantization
pattern mapping
pattern classification
control applications
Question 3: 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
Question 4: 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
Question 5: 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
Question 6: For what purpose, hamming network is suitable?
classification
association
pattern storage
none of the mentioned
Question 7: What happens in upper subnet of the hamming network?
classification
storage
output
none of the mentioned
Question 8: 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
Question 9: 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
Question 10: 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
Question 12: What is the objective of associative memories?
to store patters
to recall patterns
to store association between patterns
none of the mentioned
Question 13: Is it possible to capture implicit reasoning process by patten classification network?
yes
maybe
no
cannot be determined
Question 15: Associative memory, if used in feedback structure of hopfield type can function as?
data memory
cluster
content addressable memory
none of the mentioned
Question 16: In feedforward network, the associations corresponding to input – output patterns are stored in?
activation state
output layer
hidden layer
none of the mentioned
Question 17: 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
Question 18: 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
Question 20: Neuro – Fuzzy systems can lead to more powerful neural network?
yes
no
may be
cannot be determined
