The update in weight vector in basic competitive learning can be represented by?

Neural Networks - Quiz(MCQ)

w(t + 1) = w(t)

w(t + 1) = w(t) + del.w(t)

w(t + 1) = w(t) â€“ del.w(t)

None of the above

Correct Answer : w(t + 1) = w(t) + del.w(t)

Explanation : The update in weight vector in basic competitive learning can be represented by w(t + 1) = w(t) + del.w(t).

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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