RBF-CSR方法及其应用于裂解装置建模的研究The Radial Basis Functions-Cyclic Subspace Regression Approach and its Application to Cracker Modeling
庄凌,陈德钊,赵伟祥,张红,胡上序
摘要(Abstract)：
RBF-CSR是在分析RBF-PLS的基础上提出的新方法。它保留了RBF-PLS的优点:采用神经网络的结构, 又用数学方法直接求解,免去了ANN冗长的训练过程和其它诸多欠缺。RBF-CSR方法可以在更宽广的空间内寻找最优的网络参数,它所建立的模型具有很高的预报精度和良好的稳定性,又有简洁的解析形式,便于优化等进一步的计算和处理。该方法已成功地应用于裂解装置的建模。
关键词(KeyWords)： 径向基函数;偏最小二乘回归;循环子空间回归;裂解装置
基金项目(Foundation): 国家自然科学基金(20076041)
作者(Author): 庄凌,陈德钊,赵伟祥,张红,胡上序
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