A layered neural net realized with two chips is described. One chip implements 24*24 synapses, a local weight control mechanism, and quantized +or-1 LSB, both momentum and weight update schemes. The other contains 24 neurons, implementing not only backward propagation (BP) but Hebbian learning, with 200-pF drive capability. Some experimental chip characteristics verifying the implemented techniques are given.>
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Shima et al. (1992) studied this question.
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