Solar cell both exponent mathematical model can be obtained exactly using a few measurement data by the least squares fitting method that parameter can be separated.
用参数可分离非线性最小二乘拟合方法，根据少量测量数据较准确地求得了太阳电池双指数数学模型。
Parameter of the model and the numerical solution are given using the way of curve fitting.
同时用曲线拟合的方式，给出了模型中参数的确定方法，以及模型的数值解法。
Finally, three methods have been proposed for model calibration, namely, index comparison, parameter comparison and curve fitting.
最后，提出了三种方法对模型进行校验，分别是指标对比法、参数对比法、曲线拟合法。
Algorithms for iteratively refining the parameter estimates and residuals from the fitting of a regression model using QR decomposition are described.
讨论用QR分解拟合回归方程时，参数估计和剩余的迭代加细算法。
A reliability enhancement model is proposed for high-pressure heaters at a large-sized thermal power plant along with a detailed discussion of the model parameter estimation and fitting inspection.
文中提出了大型火电站高压加热器可靠性增长模型，详细讨论了该模型的参数估计和拟合检验。
The calculating formulae of weighted optimum curve regression model parameter given in this paper possesses high speed of parameter correcting, high precision of fitting and obvious effect.
本文给出的带权优化曲线回归模型参数计算公式，修正参数速度快，拟合精度高，效果显著。
The factors of MOS transistor in the saturation region are analyzed, the mismatch models are optimized, and the model parameter extraction is done by least squares curve fitting method.
通过分析MOS管在饱和区失配因素，优化MOS管失配模型，提出用最小二乘曲线拟合法进行相关模型参数提取。
Constitutive model is very important for parameter back analysis. A fitting constitutive model can make it easily to ascertain parameter.
本构模型是岩体参数反分析的一个重要方面，合适的模型可使参数确定变得容易。
Zero-truncated count model could not only solve the issue of zero-truncated count distribution, but also the parameter estimates were more accurate, the fitting results were more reasonable.
采用零截尾计数模型分析，不仅可以解决零截尾计数分布问题，且参数估计结果更准确，拟合效果更合理。
The example showed that self-memory model, based on parameter optimization, advanced the adaptability and had a better fitting effect and prediction effect.
实例研究表明，基于参数优化的自记忆模型提高了自记忆模型的适应性，具有更好的拟合、预测效果。
The example showed that self-memory model, based on parameter optimization, advanced the adaptability and had a better fitting effect and prediction effect.
实例研究表明，基于参数优化的自记忆模型提高了自记忆模型的适应性，具有更好的拟合、预测效果。
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