Combining Principal Component Regression and Artificial Neural Network to Predict Chlorophyll-a Conc

• 作 者: 张旋 王启山 于淼 吴京
• 机 构: CollegeofEnvironmentalScienceandEngineering,NankaiUniversity,SchoolofLightIndustryandEnvironmentalEn
• 出 处: 天津大学学报：英文版
• 发表日期: 2010年6期
• 关键词: 主要部件回归 人工的神经网络 混合方法 叶绿素 -- 一 超营养作用 principal component regression artificial ne

In order to investigate the eutrophication degree of Yuqiao Reservoir, a hybrid method, combining principal component regression (PCR) and artificial neural network (ANN), was adopted to predict chlorophyll-a concentration of Yuqiao Reservoir’s outflow. T