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On the properties of the feedforward method: A simple training law for on-chip learning
1Dept. of Electr. Eng., Aristotelian Univ. of Thessaloniki.
Abstract:
This paper investigates the properties of the so-called feedforward method, which is a very simple training law suitable for on-chip learning. Its merit is conceptual and implementational simplicity. Its signals do not propagate in both directions and it works for various types of activation function, a feature that makes it particularly effective in the case of unmodeled activation functions. Extensive simulation has shown that this method is usually faster than backpropagation.
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