Paper Title:
Prediction Model of Zinc Coating Weight for Continuous Hot-Dip Galvanizing Based on BP Network
  Abstract

The BP network model is established to predict the Zinc Coating Weight for C608/708 hot-dip galvanizing line. The model develops as the simulation function of jet pressure, nozzle to strip distance, nozzle to zinc bath distance, strip velocity and thickness. Compare the prediction precision of different models when the number of neurons in network is five, ten or fifteen. The models have better effect in use after put into production and can be used for other hot-dip galvanizing lines.

  Info
Periodical
Edited by
Qingxue Huang, Cunlong Zhou, Zhengyi Jiang, Jianmei Wang, Hailian Gui, Lifeng Ma, Lidong Ma, Yugui Li and Chunjiang Zhao
Pages
10-13
DOI
10.4028/www.scientific.net/AMR.145.10
Citation
X. B. Zhang, Q. D. Zhang, X. F. Zhang, "Prediction Model of Zinc Coating Weight for Continuous Hot-Dip Galvanizing Based on BP Network", Advanced Materials Research, Vol. 145, pp. 10-13, 2011
Online since
October 2010
Export
Price
$32.00
Share

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

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

Authors: Olga Bondareva
Chapter 2: Properties of Materials, Electrophysical and Mechanical Methods and Technologies of Materials Processing
Abstract:Hot-dip galvanizing of steels is usually performed by immersing the metal in a bath with molten zinc in the temperature range from 450 to 460...
355
Authors: Pan Zou, Bei Zhi Li, Steven Y. Liang
Chapter 5: Information Technology and Computer Science, Networks
Abstract:This paper proposed an improved General Regression Neural Network (GRNN) for prediction based on small samples data by adding the procedure...
646