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首页> 外文会议>2012 IEEE 5th International conference on management engineering amp; technology of statistics >Chemical process modeling based on support vector machine with flexible kernel function
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Chemical process modeling based on support vector machine with flexible kernel function

机译：基于支持向量机的核函数柔性化学过程建模

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the nonlinear model performance of support vector machine (SVM) is decided by the kernel function in all probability,and choosing a proper kernel function is very important.During the modeling process,usually by selecting several kernel functions,and optimizing its parameters,and then to select the one which gives the best performance of fitting and predicting.Unfortunately,this will lead to a very time-consuming procedure,and the result may not be optimal.Person Ⅶ function has fine flexibility,it can fit any smooth single-peak curve by adjusting its parameters,and it meets the Mercer conditions which is necessary for the valid kernel function.Therefore,Person VII flexible kernel function was introduced into SVM in order to avoid the selection of kernel function.The SVM based on Person VII flexible kernel function can simplifies the modeling process and improves the performance of the model.The improved SVM was applied to chemical process modeling,and satisfactory results were obtained.
机译：支持向量机（SVM）的非线性模型性能完全由内核函数决定，选择合适的内核函数非常重要。在建模过程中，通常通过选择几个内核函数并优化其参数，然后选择最适合拟合和预测性能的算法。不幸的是，这将导致非常耗时的过程，并且结果可能并非最佳。PersonⅦ函数具有很好的灵活性，可以适合任何平滑的单峰通过调整其参数的曲线，使其满足有效内核功能所需的Mercer条件。因此，为了避免选择内核功能，将Person VII灵活内核功能引入了SVM中。基于Person VII灵活内核的SVM该功能可以简化建模过程并提高模型性能。改进后的支持向量机应用于化学过程建模，取得了满意的结果。 。

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