基于LSSVM的木材干燥建模研究

针对木材干燥过程的强非线性特点,提出以最小二乘支持向量机LSSVM建立木材干燥基准模型.通过实验用小型木材干燥窑实际干燥过程中采集的数据作为训练样本进行仿真实验,结果表明基于LSSVM的木材干燥模型预测输出能够准确反映干燥过程木材含水率的变化,模型结构简单、预测精度高、泛化能力强,验证了LSSVM对木材干燥过程建模是一种可行而有效的方法.

Modeling Based on Least Square Support Vector Machine for Wood Drying Process

The wood drying model based on least square support vector machine(LSSVM) is proposed in accordance with the features of wood drying process,i.e.,severe nonlinear characteristic.Through the experiment with a small sized wood drying kiln,the collected data are used as the training samples for simulation test.The result shows that the predictive output from drying model based on LSSVM reflect the variance of moisture content of wood in drying process.The model features simple structure,high predictive accurac...