What is the advantage of basis function over multilayer feedforward neural networks?

Neural Networks - Quiz(MCQ)

Training of basis function is faster than MLFFNN

Storing in basis function is faster than MLFFNN

Training of basis function is slower than MLFFNN

None of the above

Correct Answer : Training of basis function is faster than MLFFNN

Explanation : The main advantage of basis function is that the training of basis function is faster than MLFFNN.

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