• Hence we derive the expression of fitting function and propose a new Q-value inversion method using non - linear parameter statistical modeling of seismic records.

    为此我们导出了拟合函数表达式,提出用非线性参数统计模拟地震记录的方法反演q值。

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  • According to results of calculating parameters and groundwater level fitting, a conclusion which complex method is very effective for multi parameter inverse problem is given.

    根据求参结果及水位拟合情况,特别指出当反演参数的个数较多时,复形法的实用性就显得更为突出。

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  • 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。

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  • The comparison among various methods of parameter estimation shows that the least-squares fitting method in the time domain is more accurate one.

    各种参数估值方法的比较表明,时间域最小二乘拟合法较为精确。

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  • The parameter estimation achieved by this method is not unbiased. The precision of curve fitting is low.

    但这种方法进行的参数估计不是无偏估计量,因此其非线性拟合精度较低。

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  • 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。

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  • Conclusion the SAEM algorithm is an efficient fitting method for the population pharmacokinetics parameter estimation.

    结论利用SAEM算法估计群体药代动力学参数是一个比较好的方法。

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  • Conclusion the SAEM algorithm is an efficient fitting method for the population pharmacokinetics parameter estimation.

    结论利用SAEM算法估计群体药代动力学参数是一个比较好的方法。

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