Title :
A model-reference neural network scheme for obtaining laser printer modulation templates
Author :
Wells, Richard B. ; Vongkunghae, Akaraphunt
Abstract :
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.
Keywords :
laser printers; learning (artificial intelligence); neural nets; optimisation; Madaline II network; adaptive subpixel modulation optimization system; electrophotography; laser printer modulation templates; model-reference neural network scheme; neural network weights; performance feedback algorithm; response feedback; training algorithm; Adaptation model; Contracts; Engines; Laser feedback; Laser modes; Neural networks; Neurofeedback; Printers; Signal processing; Signal processing algorithms;
Conference_Titel :
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN :
0-7803-7474-6
DOI :
10.1109/IECON.2002.1185256
