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Question

If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented?

a.

na(i)

b.

n^

c.

^a(i)

d.

none of the mentioned

Posted under Neural Networks

Answer: (d).none of the mentioned

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Q. If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented?
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