摘要
研究了提高混凝土无损检测测强曲线拟合精度的方法。提出,在最小二乘法的基础上,选用合适的函数形式,采用分段拟合,以相对误差最小为目标,消除异常值的影响或采用人工神经网络等方法,提高测强曲线拟合的精度。
The mesures are studied to improve precision of detection curve fitting in concrete nondestructive testing. A calculational example indicates that it can gain higher precision to chose suitable form of function, to fit with piecewise-function, to aim least sum of relative error, to eliminate influence of outliers, or to apply artificial neural networks. And all above measures are based on least square method.
出处
《理化检验（物理分册）》
CAS
2005年第10期510-512,529,共4页
Physical Testing and Chemical Analysis(Part A:Physical Testing)
关键词
混凝土
无损检测
测强曲线
曲线拟合
拟合精度
Concrete
Nondestructive testing
Strength detection curve
Curve fitting
Precision of curve fitting
