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What is hebb’s rule of learning

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What is hebb’s rule of learning

(a) the system learns from its past mistakes

(b) the system recalls previous reference inputs & respective ideal outputs

(c) the strength of neural connection get modified accordingly

(d) none of the mentioned

This question was posed to me in quiz.

Origin of the question is Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks

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Correct answer is (c) the strength of neural connection get modified accordingly

The explanation: The strength of neuron to fire in future increases, if it is fired repeatedly.

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