摘要
介绍了目前国内外对于木材干燥建模的研究现状。针对木材干燥过程的强耦合、非线性等特点,探讨了应用目前常用的两种基于机器学习的非线性系统建模方法-神经网络和支持向量机建立木材干燥模型的可行性,给出了基于神经网络和支持向量机的木材干燥模型,并分析了这两种木材干燥模型的结构和优缺点。
This paper introduced the present research status of wood drying modeling method. Based on the nonlinear, strong coupling characteristic of wood drying system, discussed the feasibility of two common using nonlinear system modeling methods for wood drying modeling： neural networks and support vector Machines. This paper also built wood drying model based on ANN and SVM, and analyzed the frame, advantage and disadvantage of the two methods.
出处
《木材加工机械》
2007年第5期42-45,共4页
Wood Processing Machinery
关键词
木材干燥
建模
神经网络
支持向量机
wood drying
modeling
neural networks, support vector machine
