Why is the training of basis function is faster than MLFFNN?

Neural Networks - Quiz(MCQ)

Because they are developed specifically for pattern classification

Because they are developed specifically for pattern approximation

Because they are developed specifically for pattern approximation or classification

None of the above

Correct Answer : Because they are developed specifically for pattern approximation or classification

Explanation : Training of basis function is faster than MLFFNN because they are developed specifically for pattern approximation or classification.

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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Machine Learning

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