In perceptron learning, what happens when input vector is correctly classified?

Neural Networks - Quiz(MCQ)

small adjustments in weight is done

no adjustments in weight is done

large adjustments in weight is done

weight adjustments doesnâ€™t depend on classification of input vector

Correct Answer : no adjustments in weight is done

Explanation : No adjustments in weight is done, since input has been correctly classified which is the objective of the system.

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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