INTRODUCING NEURAL-NETWORK ALGORITHMS INTO AN AUTOMATED SYSTEM DESIGNED TO CONTROL METALLURGICAL PROCESSES

被引：5

作者：

Kadyrov, E. D. ^{[1
]}

Koteleva, N. I. ^{[1
]}

机构：

[1] Tech Univ, Plekhanov St Petersburg State Min Inst, St Petersburg, Russia

来源：

METALLURGIST | 2011年 / 54卷 / 11-12期

关键词：

neural network; neural-network algorithms; control system; metallurgical processes;

D O I：

10.1007/s11015-011-9377-7

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

Systems for controlling metallurgical processes are often developed by using special methods of control theory, including adaptive, neural-network, and optimization methods. These techniques are used because of the increasing complexity of the problems that are now being solved in the control process. This article describes one approach to introducing neural-network algorithms into the structure of systems that control metallurgical operations.

引用

页码：799 / 802

页数：4