What is the another name of weight update rule in adaline model based on its functionality?

Neural Networks - Quiz(MCQ)

LMS error learning law

Gradient descent algorithm

Both LMS error & Gradient descent learning law

None of the Above

Correct Answer : Both LMS error & Gradient descent learning law

Explanation : weight update rule minimizes the mean squared error(delta square), averaged over all inputs & this laws is derived using negative gradient of error surface weight space.

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