PCA-SS-LSSVM在循环冷却水结垢预测中的应用

PCA-SS-LSSVM Application in Predicting the Fouling of Circulating Cooling Water

采用主成分分析-分散搜索算法-最小二乘向量机(PCA-SS-LSSVM)算法对某石化企业近几年的生产数据进行建模预测。经过实验仿真表明:该算法能及时准确地预测粘附速率。

PCA-SS-LSSVM algorithm was used to predict the production data of a petrochemical enterprise in recent years. Simulation results show that, this algorithm can predict the adhesion rate accurately and timely and it has important guiding significance in improving production efficiency and reducing operating costs.