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

Neural Networks - Quiz(MCQ)

hoff learning law

widrow learning law

no learning law

hebb learning law

Correct Answer : hebb learning law

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

Recently Updated in Neural Networks Questions

A greater value of 'p' the vigilance parameter leads to?

No change

Bigger clusters

Small clusters

None of the above

Correct Answer : Small clusters

Explanation : Input samples associated with same neuron get reduced.

What type of inputs does ART â€“ 1 receives?

binary

bipolar

both bipolar and binary

none of the above

Correct Answer : binary

Explanation : Adaptive resonance theory take care of stability plasticity dilemma.

What does vigilance parameter in ART determines?

Number of desired outputs

Number of possible outputs

Number of acceptable inputs

None of the above

Correct Answer : None of the above

Explanation : Vigilance parameter in ART determines the tolerance of matching process.

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