提出了基于时间序列分析和小波变换方法的实测参数预处理方法，提高了预测精度。

Prediction parameters preprocessing method is proposed which is based on time series analysis with wavelet transform method. And in this way, the prediction accuracy is increased.

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分别用积分变换法和奇异摄动法，导出了数学模型在拉氏域内的解和时间域内的近似解析解，并用导得的解进行模型参数估值。

Parameters are evaluated by using an integral transform technique and a single perturbation technique. An improved method of moment is provided to treat experimental data.

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