The method of nonlinear function can improve calculating precision of temperature field.

采用系数曲线拟合法可以很大程度提高温度场的计算精度.

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When this fuzzy RBF network is applied to nonlinear function approximation, a good result is obtained.

将该网络应用于非线性函数逼近问题, 取得较好的效果.

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Nonlinear function approximation using BP neural network and RBF neural network is simulated.

最后,作了用BP网络和RBF网络逼近非线性函数的仿真研究,并作了比较.

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