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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It first builds the model by using curve fitting toolbox to fit the unit input output curves, and then dispatch the load with the aid of optimization toolbox.

首先利用曲线拟合工具箱拟合机组的煤耗特性曲线进行建模，再使用优化工具箱进行负荷优化分配。

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The mathematical model based on orthogonal function as fan characteristic curve fitting is introduced and its precision and utility is validated through the calculating example.

介绍了采用正交函数法快速拟合通风机性能曲线的数学模型，通过算例验证了此数学模型的精确性和实用性。

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