A. ∆wij= µ(si) aj
B. ∆wij= µ(bi – si) aj
C. ∆wij= µ(bi – si) aj Á(xi),where Á(xi) is derivative of xi
D. ∆wij= µ bi aj
I had been asked this question by my school principal while I was bunking the class.
Asked question is from Learning topic in section Basics of Artificial Neural Networks of Neural Networks
Easiest explanation: Correlation learning law depends on target output(bi).