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Definition of "Hebb’s principle" |
to update the weights of the simple feed forward neural network (e.g., perceptron) a very simple idea, called Hebb’s principle, can be used. The principle states the following: Apply a given pattern to the inputs and clamp the outputs to the desired response, then increase the weights between nodes that are simultaneously excited. This principle was formulated by Hebb in 1949, in an attempt to model neural networks. |
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