Optimal control of end-port glass tank furnace regenerator temperature based on artificial neural network

作     者：陈希 

作者机构：Department of Computer Science and Information Engineering Tianjin University of Science & TechnologyTianjin 300222 P.R. China 

出 版 物：《Journal of Chongqing University》 (重庆大学学报（英文版）)

年 卷 期：2005年第4卷第2期

页      码：113-116页

摘      要：In the paper, an artificial neural network (ANN) method is put forward to optimize melting temperature control, which reveals the nonlinear relationships of tank melting temperature disturbances with secondary wind flow and fuel pressure, implements dynamic feed-forward complementation and dynamic correctional ratio between air and fuel in the main control system. The application to Anhui Fuyang Glass Factory improved the control character of the melting temperature greatly.

主 题 词：B-P network topology structure learning efficiency momentum modulus 

学科分类：08[工学] 0835[0835] 0802[工学-机械学] 080201[080201] 

馆 藏 号：203224034...