What is hebb's rule of learning - Neural Networks Quiz

Neural Networks - Quiz(MCQ)

What is hebb's rule of learning

The system learns from its past mistakes

The strength of neural connection get modified accordingly

The system recalls previous reference inputs & respective ideal outputs

None of the Above

Correct Answer : The strength of neural connection get modified accordingly

Explanation : The strength of neuron to fire in future increases, if it is fired repeatedly.

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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