NEURAL NETWORK WITH DYNAMIC REFRESH CAPABILITY

An analog neural network composed of an array of capacitors for storing weighted electric charges. Electric charges, or voltages, on the capacitors control the impedance (resistance) values of a corresponding plurality of MOSFETs which selectively couple input signals to one input of a summing amplifier. A plurality of semiconductor gating elements (e.g. MOSFETs) selectively couple to the capacitor's weighted analog voltage values received serially over an input line. The weighted voltage on the input line are periodically applied to the proper capacitors in the neural network via the gating elements so as to refresh the weighted electric charges on the capacitors, and at a multiplex rate that maintains the voltages on the capacitors within acceptable tolerance levels.