Liquefied model analysis of fluorspar powder based on neural network

doi:10.3778/j.issn.1002-8331.2010.26.074

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (26): 245-248.DOI: 10.3778/j.issn.1002-8331.2010.26.074

• 工程与应用 • Previous Articles

Liquefied model analysis of fluorspar powder based on neural network

CHEN Gang¹，DU Shu-xin¹，JIANG Lⁱ²，LI Chen²，CAI Jing²

1.State Key Lab of Industrial Control Technology，Zhejiang University，Hangzhou 310027，China
2.Technical Center of Raw Material Inspection of Shanghai Entry-Exit Inspection and Quarantine Bureau，Shanghai 200135，China

Received:2009-02-19 Revised:2009-04-07 Online:2010-09-11 Published:2010-09-11
Contact: CHEN Gang

基于神经网络的氟石粉液化模型分析

陈刚¹，杜树新¹，江丽²，李晨²，蔡婧²

1.浙江大学工业控制技术国家重点实验室，杭州 310027
2.上海出入境检验检疫局原材料与工业品检测中心，上海 200135

通讯作者: 陈刚

Abstract

Abstract: A modeling method based on RBF neural network is presented for liquefied FMP of fluorspar powder，where the model input includes the particle size，uniformity of particle，chemical properties，density and deposited density，and the model output is Flow Moisture Point（FMP）.The simulation shows that the model has a high prediction accuracy.Finally，the backward stepwise elimination method is used to delete the redundant factors，and the sensitivity of every factor is analyzed.

Key words: fluorspar powder, liquefy, Radial Basis Function（RBF） neural network, analysis of attributes, sensitivity of factors

摘要： 在对氟石粉进行实验研究的基础上，应用RBF神经网络，建立了预测氟石粉液化FMP的模型。在该模型中，输入为影响氟石粉液化FMP的各种因素，包括粒径、均匀度、化学性质、真密度及堆积密度等，输出为FMP，预测结果表明，所建RBF神经网络模型预测精度较高，可应用于对氟石粉液化FMP的预测。同时采用逐步反向删除的方法分析输入属性对输出结果的影响，找出了影响氟石粉液化FMP的主要影响因素。最后对每个主要属性进行了灵敏度分析。

关键词: 氟石粉, 液化, 径向基神经网络, 属性分析, 灵敏度

CLC Number:

CHEN Gang¹，DU Shu-xin¹，JIANG Lⁱ²，LI Chen²，CAI Jing². Liquefied model analysis of fluorspar powder based on neural network[J]. Computer Engineering and Applications, 2010, 46(26): 245-248.

陈刚¹，杜树新¹，江丽²，李晨²，蔡婧². 基于神经网络的氟石粉液化模型分析[J]. 计算机工程与应用, 2010, 46(26): 245-248.

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Liquefied model analysis of fluorspar powder based on neural network

基于神经网络的氟石粉液化模型分析

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