Niederspannungsneuronalnetzwerk mit sehr niedrigem Leistungsverbrauch
A neural network (1) including a number of synaptic weighting elements (15, 17), and a neuron stage (5); each of the synaptic weighting elements (15, 17) having a respective synaptic input connection (11, 13) supplied with a respective input signal (x1, ..., xn); and the neuron stage (5) having inpu...
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Zusammenfassung: | A neural network (1) including a number of synaptic weighting elements (15, 17), and a neuron stage (5); each of the synaptic weighting elements (15, 17) having a respective synaptic input connection (11, 13) supplied with a respective input signal (x1, ..., xn); and the neuron stage (5) having inputs (36, 37) connected to the synaptic weighting elements, and being connected to an output (39) of the neural network (1) supplying a digital output signal (O). The synaptic weighting elements (15, 17) are formed by memory cells programmable to different threshold voltage levels, so that each presents a respective programmable conductance; and the neuron stage (5) provides for measuring conductance (33-35, 43-45) on the basis of the current through the memory cells, and for generating a binary output signal on the basis of the total conductance of the synaptic elements. |
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