Research on parmeters of acquisition model based on non-linear least squares method

Abstract

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.