Current and future development in neural computation in steel processing

被引：43

作者：

Schlang, M

Lang, B

Poppe, T

Runkler, T

Weinzierl, K

机构：

[1] Siemens Demat AG, Elect Assembly Syst, D-81359 Munich, Germany

[2] Siemens AG, Corp Technol, Neural Computat, D-81735 Munich, Germany

[3] Siemens AG, Ind Solut & Serv, D-91052 Erlangen, Germany

来源：

CONTROL ENGINEERING PRACTICE | 2001年 / 9卷 / 09期

关键词：

automatic process control; data processing; diagnosis; learning systems; machine learning; metals; neural networks; nonlinear control;

D O I：

10.1016/S0967-0661(01)00086-7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A rolling mill process control system calculates the setup for the mill's actuators based on models of the technological process. Neural networks are applied as components of hybrid neuro/analytical process models. They are the keys to fit the general physical models to the needs of the automation of a specific mill. Besides present applications, the paper describes future trends in application of neural networks in process control, (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：975 / 986

页数：12

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