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以加氢裂化反应器为例进行了动态响应分类方法的探讨，研究了针对化工动态过程的特点提取动态响应特征的方法，以及RBF神经网络在动态响应分类中的应用和与其他几种分类器的比较．
Taking the hydrocracking reactor as an example, the dynamic response classification method was studied. The method of extracting the dynamic response characteristic for the chemical dynamic process was studied. The application of RBF neural network in the dynamic response classification and several other classifiers Comparison.