What consist of competitive learning neural networks?

Neural Networks - Quiz(MCQ)

feedback paths

feedforward paths

either feedforward or feedback

combination of feedforward and feedback

Correct Answer : combination of feedforward and feedback

Explanation : Competitive learning neural networks is a combination of feedforward and feedback connection layers resulting in some kind of competition.

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.

New Technologies MCQ's

Machine Learning

Artificial Intelligence