Explore topic-wise MCQs in Neural Network.

This section includes 7 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.

Which of the following equation represent perceptron learning law?

A. wij= (si) aj
B. wij= (bi si) aj
C. wij= (bi si) aj (xi),wher (xi) is derivative of xi
D. wij= (bi (wi a)) aj
Answer» C. wij= (bi si) aj (xi),wher (xi) is derivative of xi
2.

What s the other name of widrow & hoff learning law?

A. Hebb
B. LMS
C. MMS
D. None of the mentioned
Answer» C. MMS
3.

widrow & hoff learning law is special case of?

A. hebb learning law
B. perceptron learning law
C. delta learning law
D. none of the mentioned
Answer» D. none of the mentioned
4.

Hebb s law can be represented by equation?

A. wij= f(wi a)aj
B. wij= (si) aj, where (si) is output signal of ith input
C. both way
D. none of the mentioned
Answer» D. none of the mentioned
5.

State whether Hebb s law is supervised learning or of unsupervised type?

A. supervised
B. unsupervised
C. either supervised or unsupervised
D. can be both supervised & unsupervised
Answer» C. either supervised or unsupervised
6.

What is learning signal in this equation wij= f(wi a)aj?

A.
B. wi a
C. aj
D. f(wi a)
Answer» E.
7.

If the change in weight vector is represented by wij, what does it mean?

A. describes the change in weight vector for ith processing unit, taking input vector jth into account
B. describes the change in weight vector for jth processing unit, taking input vector ith into account
C. describes the change in weight vector for jth & ith processing unit.
D. none of the mentioned
Answer» B. describes the change in weight vector for jth processing unit, taking input vector ith into account