| 摘要 |
A pattern classifier for character recognition is constructed in accordance with a neural network model. The pattern classifier comprises (2n+1)x(2n+1) input buffer amplifiers and m output buffer amplifiers. The input buffer amplifiers have an inverted output line and a non-inverted output line which intersect input lines to the output buffers. Synapses are selectively arranged at the intersections of the output and input lines in accordance with predetermined mask patterns used in character recognition. PMOS and NMOS transistors are employed for the synapses.
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