Cost Control Technology of Ore-dressing Production Process Based on Neural Network and its Application

Author

Yang, Xin ; Chai, Tianyong ; Liu, Wei

Author_Institution

Res. Center of Autom., Northeastern Univ., Shenyang

Volume

2

fYear

2005

Firstpage

1053

Lastpage

1057

Abstract

According to the current status of production cost management of ore-dressing production in China, this paper proposes a technology diagram of cost control of production process to realize the optimum control of material consumption of ore-dressing and builds up a cost predicting model and analysis model based on neural networks. The two models above have been applied in the cost control system for the largest hematite ore-dressing factory in China. As a result, the enterprise realizes the dynamic control of the production cost

Keywords

mineral processing industry; neurocontrollers; optimal control; cost control technology; cost predicting model; neural network; optimum control; ore-dressing production process; production cost management; Control systems; Cost function; Energy consumption; Feedforward systems; Monitoring; Neural networks; Predictive models; Process control; Production facilities; Production systems; cost control; cost model; material consumption; neural network; ore-dressing production process;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Brain, 2005. ICNN&B '05. International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-9422-4

Type

conf

DOI

10.1109/ICNNB.2005.1614799

Filename

1614799