Network architecture for the programmable emulation of artificia

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G06F 1518

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052533301

ABSTRACT:
A network architecture for the programmable emulation of large artificial neural networks ANN having digital operation employs a plurality L of neuron units of identical structure, each equipped with m neurons, the inputs (E) thereof being connected to network inputs (E.sub.N) multiplied or branching via individual input registers (REG.sub.E). The outputs (A) of the neuron units are connectable to network outputs (A.sub.N) at different points in time via individual multiplexers (MUX) and individual output registers (REG.sub.A) and the neuron units have individual auxiliary inputs via which signals can be supplied to them that represent weighting values (W) for weighting the appertaining neural connections and represent thresholds (0) for weighting input signals.

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