A model-reference neural network scheme for obtaining laser printer modulation templates

An adaptive subpixel modulation optimization system for obtaining laser printer modulation templates is introduced in this paper. This paper presents a novel training algorithm for employing a Madaline II network in a model-reference loop. The neural network weights are adapted using the Madaline II rule. Desired response feedback is obtained from a new performance feedback algorithm.