Algorithms and software system for controlling the quality of glass batch using artificial neural networks

被引：5
|
作者：
Meshalkin, V. P. [1 ]
Bol'shakov, A. A. [2 ]
Petrov, D. Yu. [3 ]
Krainov, O. A. [2 ]
机构：
[1] Mendeleev Russian Univ Chem Technol, Moscow 125047, Russia
[2] Saratov State Tech Univ, Saratov 410054, Russia
[3] Russian Acad Sci, Inst Precis Mech & Control, Saratov 410028, Russia
来源：
THEORETICAL FOUNDATIONS OF CHEMICAL ENGINEERING | 2012年 / 46卷 / 03期
关键词：
Artificial Neural Network; Glass Batch; Oriented Programming Language; Customer Program; Standard Data Processing;
D O I：
10.1134/S0040579512030062
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
The problem of the computer-aided control of the temperature, humidity, and homogeneity of a glass batch and the degree of its compositional correspondence to a recipe using mathematical models based on artificial neural networks and a Siemens software tool system to improve the quality of flat glass has been solved.
引用
收藏
页码：284 / 287
页数：4
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