What is true regarding adaline learning algorithm

Neural Networks - Quiz(MCQ)

This technique allows incremental learning

Error is defined as MSE between neurons net input and its desired output

Uses gradient descent to determine the weight vector that leads to minimal error

All of the Above

Correct Answer : All of the Above

Explanation : Incremental learning means refining of the weights as more training samples are added, rest are basic statements that defines adaline learning.

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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