| 摘要 |
<p>A semiconductor neural circuit device having a very simple circuit and a self-teaching function, by which a neural network is allowed to learn. The device comprises synapse circuits which output weighted values, and neuron circuits which execute linear addition of the output signals from the synapse circuits, and output the signal voltages of high and low levels with respect to a given threshold value VTH. In the case of learning of increasing the total value Z, only when VTH -⊂ < Z < VTH + α with respect to two positive parameters ⊂ and α, the weighted value of predetermined synapse circuits which input signals to the neuron circuit is increased by a given positive value. Conversely, in the case of learning of decreasing the total value Z, only when the VTH - α < Z < VTH + ⊂, the weighted value of predetermined synapse circuits which input signals to the neuron circuit is decreased by a given positive value.__________________</p> |
