This paper puts forward a seasonal neural network model to curve fitting analysis for nonlinearity and predict for the seasonal time series of outpatient amount.

本文提出一种利用季节性神经网络模型对医院门诊量进行非线性曲线拟合分析和预测。

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Then, an example of the fitting arithmetic is given, and the infection by the neural network parameter on the fitting result is researched.

然后给出了一个具体的拟合算法实例，探讨了神经网络参数对于学习过程及拟合结果的影响；

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It indicates that the neural network can produce models with better fitting quality and predictive quality in comparison with traditional G-O model.

结果表明：神经网络预测软件缺陷数比传统的G - O模型有更好的质量拟合度和估测能力。

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