Simulation results indicate that the modeling method by using the RBF neural network identification technique is effective with the established model featuring a relative high precision.
仿真结果表明采用RBF神经网络辨识建模的方法是有效的，建立的模型精度较高。
With the established model, the boiling point and flashing point of the other 7 halogenated benzenes were predicted.
利用建立的模型，对另外7种卤代苯的沸点和闪点进行了预测。
With the established model, the boiling point and flashing point of the other 7 halogenated benzenes were predicted.
利用建立的模型，对另外7种卤代苯的沸点和闪点进行了预测。
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