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Definition of "outstar rule" |
a learning rule that incorporates both Hebbian learning and weight decay. A weight is strengthened if its input signal and the activation of the neuron receiving the signal are both strong. If not, its value decays. A similar rule exists for instars, but has found less application. |
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