摘要
根据实木复合地板的特点,提出一种导热性能检测装置。根据此检测装置测出的数据,利用曲线拟合和广义神经网络(GRNN)2种方法建立起实木复合地板导热性能的数学模型,并且达到理想的逼近精度。
According to the characteristics of parquet, the authors of this article developed a new device for testing heat conduction performance for parquet. With the data obtained from the device, a mathematical model was set up by using curve fitting and generalized regression neural network （GRNN）. Results found that the model reached a nearly perfect fit, thus making it an effective method for research and for testing heat conduction performance for parquet and other laminated biomass materials.
出处
《木材工业》
北大核心
2007年第4期9-11,共3页
China Wood Industry
基金
科技部农业科技成果转化项目(04EFN213700338)
科技部星火示范项目(2005EA169021)
科技部公益项目基金(2004DIB1J030)
北京林业大学研究生自选课题基金(05jj091)
关键词
实木复合地板
导热性能
数学模型
曲线拟合
广义神经网络
parquet
heat conduction
mathematics model
curve fitting
generalized regression neural network（GRNN）
