Explore topic-wise MCQs in Neural Networks.

This section includes 9 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.

WHEN_DOES_STORAGE_PROBLEM_BECOMES_HARD_PROBLEM??$

A. when number of patterns is more than number of basins of attraction
B. when number of patterns is less than number of basins of attraction
C. when number of patterns is same as number of basins of attraction
D. none of the mentioned
Answer» B. when number of patterns is less than number of basins of attraction
2.

When are false wells created?

A. when number of patterns is more than number of basins of attraction
B. when number of patterns is less than number of basins of attraction
C. when number of patterns is same as number of basins of attraction
D. none of the mentioned
Answer» C. when number of patterns is same as number of basins of attraction
3.

What is hopfield model?

A. fully connected feedback network
B. fully connected feedback network with symmetric weights
C. fully connected feedforward network
D. fully connected feedback network with symmetric weights
Answer» C. fully connected feedforward network
4.

What happens when number of patterns is more than number of basins of attraction?

A. false wells
B. storage problem becomes hard problem
C. no storage and recall can take place
D. none of the mentioned
Answer» C. no storage and recall can take place
5.

Number of desired patterns is what of basins of attraction?

A. dependent
B. independent
C. dependent or independent
D. none of the mentioned
Answer» C. dependent or independent
6.

Can probability of error in recall be reduced?

A. yes
B. no
Answer» B. no
7.

What is capacity of a network?

A. number of inputs it can take
B. number of output it can deliver
C. number of patterns that can be stored
D. none of the mentioned
Answer» D. none of the mentioned
8.

Is it possible to determine exact number of basins of attraction in energy landscape?

A. yes
B. no
Answer» C.
9.

For what purpose energy minima are used?

A. pattern classification
B. patten mapping
C. pattern storage
D. none of the mentioned
Answer» D. none of the mentioned