1.

In a single perceptron, the updation rule of weight vector is given by

A. w(n + 1)=w(n)+η[d(n)-y(n)]
B. w(n + 1)=w(n)–η[d(n)-y(n)]
C. w(n + 1)=w(n)+η[d(n)-y(n)]* x (n)
D. w(n + 1)=w(n)–η[d(n)-y(n)]* x (n)
Answer» D. w(n + 1)=w(n)–η[d(n)-y(n)]* x (n)


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