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回归分析在界限含水率试验数据处理中的应用
引用本文:赵秀绍,莫林利.回归分析在界限含水率试验数据处理中的应用[J].华东交通大学学报,2010,27(3):27-32.
作者姓名:赵秀绍  莫林利
作者单位:1. 华东交通大学铁路环境振动与噪声教育部工程研究中心,江西南昌,330013
2. 华东交通大学软件学院,江西南昌,330013
基金项目:江西省青年科学基金,华东交通大学博士科研启动基金,华东交通大学科研基金 
摘    要:常用的界限含水率数据处理方法中,作图法不够精确,公式法仅能同时处理三组试验数据。针对以上特点,提出了线性回归计算界限含水率的优化算法。该算法可以充分利用平行试验的多组数据,使误差达到最小。重点阐述了用最小二乘法计算界限含水率的基本原理,给出了程序设计流程图,并用Visual Basic语言实现了这种算法,最后利用典型工程实例分析了该算法的优缺点。

关 键 词:界限含水率  回归分析  优化算法  VisualBasic

Application of Regression Analysis in Data Processing of Critical Moisture Content Experiment
Zhao Xiushao,Mo Linli.Application of Regression Analysis in Data Processing of Critical Moisture Content Experiment[J].Journal of East China Jiaotong University,2010,27(3):27-32.
Authors:Zhao Xiushao  Mo Linli
Institution:1. Engineering Research Center of Railway Environmental Vibration and Noise, Ministry of Education; 2. Software School, East China Jiao- tong University, Nanchang 330013, China)
Abstract:Among common data processing methods of critical moisture content, mapping method is not very precise, and formula method can only deal with three sets of experimental data. To solve these shortcomings, an optimization algorithm of critical moisture centent by linear regression method is proposed. The algorithm can take full advantage of data in the parallel tests to minimize the errors. The basic principle of the least squares method and the programming flow chart to calculate critical moisture content are proposed, and the algorithm has been realized with Visual Basic language. Finally, the advantages and disadvantages of the algorithm are analyzed by using several classical engineering project examples.
Keywords:Visual Basic
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