The Fitting of the Volume Coefficient of Asphalt Based on ANN

LI Jian-zhen; Wang Ren-huang; CHEN Jing-hang

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The Fitting of the Volume Coefficient of Asphalt Based on ANN

更新时间：2026-05-27

- The Fitting of the Volume Coefficient of Asphalt Based on ANN
- Vol. 22, Issue 4, Pages: 40-43(2005)
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- Online First：07 October 2005，
  
  Published：2005
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李健桢, 汪仁煌, 陈景航. 基于神经网络的沥青体积系数拟合[J]. 广东工业大学学报, 2005, 22(4): 40-43.

LI Jian-zhen, Wang Ren-huang, CHEN Jing-hang. The Fitting of the Volume Coefficient of Asphalt Based on ANN[J]. 2005, 22(4): 40-43.
李健桢, 汪仁煌, 陈景航. 基于神经网络的沥青体积系数拟合[J]. 广东工业大学学报, 2005, 22(4): 40-43. DOI：

LI Jian-zhen, Wang Ren-huang, CHEN Jing-hang. The Fitting of the Volume Coefficient of Asphalt Based on ANN[J]. 2005, 22(4): 40-43. DOI：

摘要

用BP神经网络对石油沥青材料体积系数模型进行了拟合研究.在沥青流量智能测试仪中用拟合得到的模型计算沥青流量

效果比以往的线性及非线性回归模型要好

能更精确地实现沥青流量的测量和控制.针对数据不充分的情况

对表格数据进行了样条插值

得到了较好的效果.

Abstract

This paper uses back propagation neural network to fit the volume coefficient model of asphalt.If the model formed by fitting is used to measure the flow of asphalt

the result shows that it is better than that of the model of linear and nonlinear regression.And it makes the precision measurement and control of flow of the asphalt weight possible.For the insufficiency of table data

spline interpolation is used to make the table data more available.The effect is satisfactory.

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references

鲍芳,汪仁煌. 沥青流量智能测试系统数学模型的研究[J]. 广东工业大学学报. 1999(01)

鲍芳,汪仁煌,王谦. 大粘度沥青流量的智能检测[J]. 现代电子技术. 1997(03)

闻新等编著.MATLAB神经网络仿真与应用[M]. 科学出版社, 2003

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