Pattern Recognition and Size Determination of Wood Inner Defects Based on Wavelet Neural Networks
Introduction Wood nondestructive detection technology is a new interdisciplinary technology, which has been successfully applied in wood production, wood processing, wood structure detection and many other fields. This paper carried out the indoor experiments for NDT of Elm wooden test samples. The relax-type wavelet neural networks were adopted to detect different types and size of wood defects by ultrasonic device.
Lihai Wang Li Li Wei Qi Huimin Yang
College of Engineering and Technology, Northeast Forestry University, Harbin 150040, China
国际会议
International Symposium on Wood Science and Technology(IAWPS 2008)(国际木材产品学会联合会2008学术研讨会)
哈尔滨
英文
131-132
2008-09-27（万方平台首次上网日期，不代表论文的发表时间）