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针对高维非线性系统,分析了基于支持向量机网络的建模能力,并将增量回归支持向量机算法应用于锅炉燃烧过程建模,根据现场采集的数据进行支持向量机网络建模和泛化能力实验。理论分析和实验结果表明网络具有良好的辨识精度和泛化能力。
For high-dimensional nonlinear systems, the modeling ability based on support vector machine network is analyzed and the incremental regression support vector machine algorithm is applied to the boiler combustion process modeling. According to the collected data, SVM network modeling and generalization ability experiment. Theoretical analysis and experimental results show that the network has good recognition accuracy and generalization ability.