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将小波理论与非线性ＰＬＳ方法结合，提出一种新的处理多维分类问题的非线性ＰＬＳ小波基神经网络模型用于动态过程监测，理论分析和应用实例均证实了该方法的可行性和有效性。
Combining wavelet theory with nonlinear PLS method, a new nonlinear PLS wavelet neural network model for multi-dimensional classification problem is proposed for dynamic process monitoring. The theoretical analysis and application examples all demonstrate the feasibility and effectiveness of the proposed method .