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In determination of weights by learning, for linear input vectors what kind of learning should be employed?

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In determination of weights by learning, for linear input vectors what kind of learning should be employed?

(a) hebb learning law

(b) widrow learning law

(c) hoff learning law

(d) no learning law

I got this question in an internship interview.

My question is based upon Determination of Weights in portion Feedforward Neural Networks of Neural Networks

1 Answer

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Best answer
Right option is (b) widrow learning law

The explanation: For linear input vectors, widrow learning law is best suited.

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