Question

In determination of weights by learning, for orthogonal 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

The question was posed to me in a national level competition.

This question is from Determination of Weights in division Feedforward Neural Networks of Neural Networks

Answer 1

Right choice is (a) hebb learning law

For explanation: For orthogonal input vectors, Hebb learning law is best suited.