【作者】 李凌； 袁德成；

【Author】 Li Ling Yuan Decheng (Department of Information Engineering Shenyang Institute of Chemical Technology Shenyang 110142 China)

【机构】 沈阳化工学院信息工程学院；

【摘要】 提出用神经网络与遗传算法结合的混合建模方法建立SMB色谱分离过程4区流量与组份纯度的软测量模型。为了解决RBF神经网络训练时隐含层节点数选取无依据,只能依靠反复仿真尝试的问题,提出将混合递阶遗传算法与RBF神经网络结合,建立SMB色谱分离过程软测量模型,以较高的精度实现了SMB组份纯度软测量。更多还原

【Abstract】 This paper presents a method of combining Neural Networks and Genetic Algorithms to establish the four zone flow and the component purity soft sensor model for the SMB chromatographic process.In order to avoid the trial and error practice in the selection of hidden layer units of RBF networks training,it is proposed to set up the combine the hybrid hierarchical Genetic Algorithms and RBF Networks in the establishment of an accurate soft sensor model of the SMB chromatographic separation process.更多还原