Slagging Process Simulation Based on Improved BP Neural Network

Abstract:

Article Preview

The slagging process in high temperature furnace smelting technology was simulated by improved BP neural network. According to the actual production condition, the improved algorithm was applied to determine the optimized neural network structure as 3-5-1 network in slag density prediction. It shows that the slagging process by means of improved BP neural network is feasible. By the simulation of BP neural network, the slag density can be predicted to adjust the proper slag composition, which can be produce high-quality metal products.

Info:

Periodical:

Edited by:

Zhenyu Du and Bin Liu

Pages:

826-829

DOI:

10.4028/www.scientific.net/AMM.26-28.826

Citation:

X. F. Li et al., "Slagging Process Simulation Based on Improved BP Neural Network", Applied Mechanics and Materials, Vols. 26-28, pp. 826-829, 2010

Online since:

June 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.