Characteristics of floating gate device as analogue memory for neural networks

Abstract
An effective controlling circuit for a floating-gate MOSFET analogue memory used in neural networks is described. It is possible to charge or discharge the floating gate storage with high resolution of more than 1% of full scale. The experimental results are described and discussed. An improved device structure is proposed for simplifying the controlling circuit.

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