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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 Please answer the above question.

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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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