论文信息 - Programmable digital neuron using pulsewidth-coded data

Programmable digital neuron using pulsewidth-coded data

Abstract In this paper, a programmable digital neuron architecture using pulsewidth-coded information is presented where the different transfer functions, ramp, sigmoid and Gaussian functions, can be generated. The neuron has been extensively simulated. The proposed programmable digital neuron is then applied to the design and analysis of a Gaussian perceptron neural model and its learning algorithm. The modular approach was adopted in the design of the programmable digital neuron to facilitate ease of expansion.

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