基于非线性最小二乘法的采集模型参数研究

Cheng He, Zhongke Feng
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引用次数: 3

摘要

本文针对对数函数、幂函数和双曲函数建立模型时存在的数据处理不当和模型包含封闭误差等问题;在生长量的精度估计中,没有科学的精度估计模型;针对这些问题,本文将研究基于非线性最小二乘法的体积模型参数和非线性最小二乘法的附加约束;可以得出,附加约束建模可以有效地提高模型的精度,消除闭合误差和用体积精度评价模型可以有效地估计积累误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on parmeters of acquisition model based on non-linear least squares method
This paper according to problems existed in improper data processing and closed error contained in the model when building models with logarithmic, power function and hyperbolic function; In precision estimation of growing stock volume, there is no scientific model for precision estimation; to address these problems, the paper would research volume model parameters based on nonlinear least square method and additional constraints of nonlinear least square method; it can be obtained that modeling with additional restrictions can effectively improve the accuracy of model, eliminating closed error and evaluating model with volume precision could be able to effectively estimate the accumulation error.
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