International Business Machines Corporation
Voltage controlled highly linear resistive elements

Abstract:

Methods of training a neural network include applying an input signal to an array of weights to generate weighted output signals based on resistances of respective weights in the array of weights. A difference between the weighted output signals and a predetermined expected output is determined. Weights in the array of weights are set by applying a pulse to a controllable resistance element in each weight. The pulse increments or decrements a charge on a junction field effect transistor in the respective controllable resistance element.