Explore topic-wise MCQs in Neural Network.

This section includes 3 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.	For noisy input vectors, Hebb methodology of learning can be employed?
A.	yes
B.	no
Answer» C.

Discussion

2.	Number of output cases depends on what factor?
A.	number of inputs
B.	number of distinct classes
C.	total number of classes
D.	none of the mentioned
Answer» C. total number of classes

Discussion

3.	In determination of weights by learning, for noisy input vectors what kind of learning should be employed?
A.	hebb learning law
B.	widrow learning law
C.	hoff learning law
D.	no learning law
Answer» E.

Discussion

Explore topic-wise MCQs in Neural Network.

For noisy input vectors, Hebb methodology of learning can be employed?

Number of output cases depends on what factor?

In determination of weights by learning, for noisy input vectors what kind of learning should be employed?