Geometric properties of ar nonlinear regression models 誤差非線性回歸模型的幾何性質(zhì)
A measure of non - linearity of partially non - lionear models 一列非線性回歸模型的非線性度量
Hoist competence ? radius ( q ? r ) curve isn ’ t standard , so the characteristic curve math model of the crane must be found up . the curve ( q ? r ) has the characteristic of linear and nonlinear 起重機(jī)的q ? r曲線具有線性和非線性的特點(diǎn),采用單一的線性或非線性回歸模型很難得出q ? r曲線的精確數(shù)學(xué)模型。
The assessed results show that the prediction effect of artificial neutral networks model is better than that of multivariate nonlinear regression model , as well as the forecast effect of subsection model for water content of crude oil is better than that of united model 評價結(jié)果表明:神經(jīng)網(wǎng)絡(luò)模型預(yù)測效果優(yōu)于多元非線性回歸模型,原油含水率分段預(yù)測模型效果優(yōu)于統(tǒng)一模型。
The linear regression models and the non - linear regression models are established respectively , which can be used in monitoring the grassland biomass based on the vegetation indices . finally , in order to establish the grassland biomass monitoring models with higher accuracy the different forms of the non - linear regression model were established respectively , including the quadric equation , the cubic equation , the logarithmic equation , and the exponential equation . the repeated tests indicated that the cubic equation is the best one in terms of the suitability of use in the study area 建立遙感植被指數(shù)和草地生物量的一元線性回歸模型和非線性回歸模型,通過反復(fù)分析論證得出,非線性回歸模型相對于一元線性回歸模型與實測生物量更為符合;通過分析植被指數(shù)與實測生物量的不同非線性回歸模型的結(jié)果,表明三次方程y = - 18 . 626rvi ~ 3 + 220 . 317rvi ~ 2 - 648 . 271rvi + 691 . 093是最適用于監(jiān)測研究區(qū)草地生物量的非線性模型。