农业机械学报2011，Vol.42Issue(6)：167-173,7.
光合有效辐射预测模型的核函数组合优化
Optimized Photosynthetic Active Radiation Prediction Model Based on Kernel Function Combination
摘要
Abstract
Using the photosynthetic active radiation ( PAR) , scattering radiation ( PFDdif) and direct radiation (PFDdir) from the ginseng base in forest as research object, a support vector machine model about photosynthetic active radiation based on linear function ( kl ) , polynomial function ( k2) and radial basis function ( k3 ) was constituted. By using K-fold cross validation method, penalty parameter c and g numerical value were optimized by particle swarm optimization. Penalty parameter c and g numerical value of photosynthetic active radiation support vector machine model were configured 16 and 1 by grid search algorithm. 0. 2k1 +0. Sk2 kernel function was chosed to construct the predict PAR model by related coefficient and the fitting equilibrium principle. Fitting index of predicting set 1 and 2 was separately 89. 213 2% and 81. 789 6% based on the predicting model. By using particle swarm algorithm, the two predicting models ' parameters were optimized. Fitting index of predicting set 1 and 2 was separately 92. 156 0% and 90. 036 0% . The predicting model based on 0. 241 +0. 8A2 and particle swarm algorithm showed ability to predict PAR variation trend.关键词
光合有效辐射/预测模型/支持向量机/核函数/粒子群算法Key words
Photosynthetic active radiation/Prediction model/Support vector machine/Kernel function combination/Particle swarm algorithm分类
信息技术与安全科学引用本文复制引用
武海巍,于海业,张蕾..光合有效辐射预测模型的核函数组合优化[J].农业机械学报,2011,42(6):167-173,7.基金项目
国家自然科学基金资助项目(30871452) （30871452）
