Neural Applications MCQ Questions & Answers

Question 1

Associative memory, if used in feedback structure of hopfield type can function as?

A. data memory
B. cluster
C. content addressable memory
D. none of the mentioned

Question 2

Can Invariances be build as static functions in the structure?

A. yes
B. no

Question 3

For what purpose, hamming network is suitable?

A. classification
B. association
C. pattern storage
D. none of the mentioned

Question 4

How can optimization be applied in images?

A. by use of simulated annealing
B. by attaching a feedback network
C. by adding an additional hidden layer
D. none of the mentioned

Question 5

In control applications, how many ways are there to control a plant?

A. 1
B. 2
C. 4
D. infinite

Question 6

In feedforward network, the associations corresponding to input – output patterns are stored in?

A. activation state
B. output layer
C. hidden layer
D. none of the mentioned

Question 7

Is it possible to capture implicit reasoning process by patten classification network?

A. yes
B. maybe
C. no
D. cannot be determined

Question 8

Neuro – Fuzzy systems can lead to more powerful neural network?

A. yes
B. no
C. may be
D. cannot be determined

Question 9

The competition in upper subnet of hamming network continues till?

A. only one unit remains negative
B. all units are destroyed
C. output of only one unit remains positive
D. none of the mentioned

Question 10

What are pros of neural networks over computers?

A. they have ability to learn b examples
B. they have real time high computational rates
C. they have more tolerance
D. all of the mentioned

Question 11

What does the activation value of winner unit is indicative of?

A. greater the degradation more is the activation value of winning units
B. greater the degradation less is the activation value of winning units
C. greater the degradation more is the activation value of other units
D. greater the degradation less is the activation value of other units

Question 12

What does the matching score at first layer in recognition hamming network is indicative of?

A. dissimilarity of input pattern with patterns stored
B. noise immunity
C. similarity of input pattern with patterns stored
D. none of the mentioned

Question 13

What happens in upper subnet of the hamming network?

A. classification
B. storage
C. output
D. none of the mentioned

Question 14

What is the objective of associative memories?

A. to store patters
B. to recall patterns
C. to store association between patterns
D. none of the mentioned

Question 15

what is true about single layer associative neural networks?

A. performs pattern recognition
B. can find the parity of a picture
C. can determine whether two or more shapes in a picture are connected or not
D. none of the mentioned

Question 16

Which application out of these of robots can be made of single layer feedforward network?

A. wall climbing
B. rotating arm and legs
C. gesture control
D. wall following

Question 17

Which is one of the application of associative memories?

A. direct pattern recall
B. voice signal recall
C. mapping of the signal
D. image pattern recall from noisy clues

Question 18

Which is the most direct application of neural networks?

A. vector quantization
B. pattern mapping
C. pattern classification
D. control applications

Question 19

which of the following is false?

A. neural networks are artificial copy of the human brain
B. neural networks have high computational rates than conventional computers
C. neural networks learn by examples
D. none of the mentioned