Precision Requirements for Analog Weight Adaptation Circuitry for Single-Layer Nets

When implementing neural networks with learning capability in analog hardware, parasitic weight adaptation due to offsets, leakage and charge injection may occur. These effects can be modeled as an extra constant weight adaptation component for each adaptation cycle. An analysis is given of the effect of constant weight adaptation on the learning behavior in sections 6.3 and 6.4. A worst case estimation of the maximum tolerable constant weight adaptation is given in section 6.5.