模型的直接参数通过实测数据获得，隐含参数利用非线性最小二乘法拟合反求获得。
Direct parameters were attained from the measurement data, and hidden parameters of the model were calibrated using the generalized least squares method.
结论采用非线性最小二乘法拟合释药动力学方程得到的理论值更接近真实值，说明由非线性最小二乘法模型嵌合通用程序得到的动力学方程能准确表征微丸的释药动力学。
CONCLUSION the theoretical values obtained by non-linear least square model fit program is near to the test values. The theoretical equations can describe accurately the release kinetics of pellets.
使用混沌与分形分析的例程，LCMV优化设计阵列处理信号，利用最小二乘法进行拟合多元非线性方程。
Use Chaos and fractal analysis routines, LCMV optimization design array signal processing, Multivariate least squares fitting method of nonlinear equations.
对系统采集的实验数据用曲线拟合的最小二乘法进行处理，完成实验数据的非线性矫正。
The experiment data collected by system is be disposed by Least square method that the contours fit, which adjust the non-linearity of experiment data.
非线性函数的最小二乘法拟合曲线需要求解一个非线性方程组。
It is necessary to solve a system of nonlinear equations for fitting the curve of nonlinear function by use of the least square method.
最小二乘法在化工中广泛用于数据拟合的线性和非线性回归及模型参数估值。
The least square method is popularly used in linear and non-linear regressions for data fitting and estimating model parameters.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
针对苯丙氨酸解氨酶生物传感器非线性特性，依据最小二乘法理论，采用最优化技术，建立了最佳拟合直线的数学模型，并给出基于可编程控制器的数据拟合程序。
To solve the non-linear problem of a biosensor, the least square method and the optimum technique have been applied to build a mathematical model to evaluate the optimum fitting straight.
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