Explore topic-wise MCQs in Neural Networks.

This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Networks knowledge and support exam preparation. Choose a topic below to get started.

1.

IS_EXACT_REPRESENTATION_OF_PATTERN_ENVIRONMENT_POSSIBLE??$

A. yes
B. no
Answer» C.
2.

What may be the reasons for non zero probability of error in recalling?$

A. spurious stable states
B. approximation in pattern environment representation
C. extra stable states
D. all of the mentioned
Answer» E.
3.

How are energy minima related to probability of occurrence of corresponding patterns in the environment?

A. directly
B. inversely
C. directly or inversely
D. no relation
Answer» B. inversely
4.

For which other task can boltzman machine be used?

A. pattern mapping
B. feature mapping
C. classification
D. pattern association
Answer» E.
5.

By using which method, boltzman machine reduces effect of additional stable states?

A. no such method exist
B. simulated annealing
C. hopfield reduction
D. none of the mentioned
Answer» C. hopfield reduction
6.

What consist of boltzman machine?

A. fully connected network with both hidden and visible units
B. asynchronous operation
C. stochastic update
D. all of the mentioned
Answer» E.
7.

What should be the aim of training procedure in boltzman machine of feedback networks?

A. to capture inputs
B. to feedback the captured outputs
C. to capture the behaviour of system
D. none of the mentioned
Answer» E.
8.

For what purpose is pattern environment useful?

A. determining structure
B. determining desired outputs
C. determining future inputs
D. none of the mentioned
Answer» E.
9.

What is pattern environment?

A. probability of desired patterns
B. probability of given patterns
C. behaviour of system
D. none of the mentioned
Answer» E.
10.

Probability of error in recall of stored patterns can be reduced if?

A. patterns are stored appropriately
B. inputs are captured appropriately
C. weights are chosen appropriately
D. none of the mentioned
Answer» D. none of the mentioned