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基于网格聚类LS-SVM的铝电解生产过程极距软测量

, PP. 1261-1264

Keywords: 铝电解生产过程,极距软测量,基于网格的共享近邻聚类,最小二乘支持向量机

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Abstract:

针对铝电解生产过程的复杂性,建立了基于网格共享近邻聚类(GNN)最小二乘支持向量机(LS-SVM)的铝电解生产过程极距软测量模型.该模型采用GNN算法将训练集分成具有不同聚类中心的子集,对各子集分别采用LS-SVM进行训练并建立子模型,同时通过参数转化实现模型对新数据样本的动态学习.仿真结果表明,基于GNN最小二乘方法建立的铝电解极距软测量模型具有精度高、泛化性能好等特点,能够为铝电解生产过程操作优化提供实时准确的信息.

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