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带权优化方法在曲线预测模型中的应用研究
引用本文:林小谷.带权优化方法在曲线预测模型中的应用研究[J].福建地质,2005,24(2):97-101.
作者姓名:林小谷
作者单位:福建信息职业技术学院建筑工程系,福州,350019
摘    要:为了能够根据监测数据推测被测量变化规律及准确预测未来变化,针对常规最小二乘法拟合精度较差的情况,提出利用带权优化方法在常规非线性拟合基础上进行优化处理。通过对工程实际监测数据的计算验证表明,带权优化得到的拟合曲线,拟合精度与预测效果均有明显提高。

关 键 词:最小二乘法  非线性拟合  带权优化  预测
收稿时间:2005-03-10
修稿时间:2005-03-10

Application of the Weight-carrying Optimistic Method on the Curve Predictive Model
Lin Xiaogu.Application of the Weight-carrying Optimistic Method on the Curve Predictive Model[J].Geology of Fujian,2005,24(2):97-101.
Authors:Lin Xiaogu
Institution:Construction Engineering Department, Fujian Vacational Institute of Information and Technology, Fuzhou, 350019
Abstract:Because of the lower accuracy in the general least squares fitting, the weight-carrying optimistic method is used on the optimistic processing of data on the basis of the common nonlinear matching so as to estimate the measurand variance and make a perfect forecast of future changes from the monitoring data. The calculation of the actual monitoring data obtained from an engineering shows that it can greatly improve the fitting accuracy, predictive validity and matched curves gotten from the weight-carrying optimization.
Keywords:least square method  nonlinear matching  weight-carrying optimization  prediction
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