ニューラルネットワークとファジィ理論を用いた電子写真プロセス制御方式 : 情報入力

概要

論文の詳細を見る
This paper describes an electrophotography process control method which includes the latent-image voltage control system using a Neural Network to estimate the OPC surface voltages, as well as a the toner supply control system using Fuzzy theory to decide the toner supply quantity. In the latent image control system, the charging and exposing characteristics of the OPC drum were taught to the Neural Network, which decides the appropriate charging voltage and exposing power to produce the necessary surface voltage. As a result, those voltages can be controlled to within ± 10V of the target voltage. Furthermore, by applying Fuzzy theory for the toner supply control system, fractuation of image density is reduced to 1/6 to 1/9.
社団法人映像情報メディア学会の論文
1992-01-24