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Question

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: (c).w(n + 1)=w(n)+η[d(n)-y(n)]* x (n)

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

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