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

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In determination of weights by learning, for orthogonal 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
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Right choice is (a) hebb learning law

For explanation: For orthogonal input vectors, Hebb learning law is best suited.
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