Question

The instar learning law can be represented by equation?

(a) ∆wjk= µ(bj – wjk), where the kth unit is the only active in the input layer

(b) ∆wij= µ(bi – si) aj

(c) ∆wij= µ(bi – si) aj Á(xi),wher Á(xi) is derivative of xi

(d) ∆wij= µ(si) aj

I had been asked this question during an online exam.

My query is from Learning topic in chapter Basics of Artificial Neural Networks of Neural Networks

Answer 1

Correct answer is (a) ∆wjk= µ(bj – wjk), where the kth unit is the only active in the input layer

Explanation: Follows from basic definition of outstar learning law.