Explore topic-wise MCQs in Neural Network.

This section includes 6 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Network knowledge and support exam preparation. Choose a topic below to get started.

1.

What does vigilance parameter in ART determines?

A. number of possible outputs
B. number of desired outputs
C. number of acceptable inputs
D. none of the mentioned
Answer» E.
2.

ART is made to tackle?

A. stability problem
B. hard problems
C. storage problems
D. none of the mentioned
Answer» E.
3.

A greater value of p the vigilance parameter leads to?

A. small clusters
B. bigger clusters
C. no change
D. none of the mentioned
Answer» B. bigger clusters
4.

What type of inputs does ART 1 receives?

A. bipolar
B. binary
C. both bipolar and binary
D. none of the mentiobned
Answer» C. both bipolar and binary
5.

What does ART stand for?

A. Automatic resonance theory
B. Artificial resonance theory
C. Adaptive resonance theory
D. None of the mentioned
Answer» D. None of the mentioned
6.

An auto associative network is?

A. network in neural which contains feedback
B. network in neural which contains loops
C. network in neural which no loops
D. none of the mentioned
Answer» B. network in neural which contains loops