原创:浅谈神经网络方法在木材表面缺陷识别中的应用 - 经济法律论文发表 - xzbu.com 中国论文网 关键字:木材表面缺陷,神经网络,BP网络 [gap=436]Key word: wood surface defect, neural network, and BP network
基于12个网页-相关网页
Secondly, laser sensor quantitative measure wood surface roughness method and wood surface defect recognition are studied by the test system consisting of FFT analyzer, laser sensor etc.
其次,使用由FFT快速傅立叶分析仪、激光传感器等组成的检测系统,进行了激光传感器对木材表面粗糙度定量测量方法的研究和木材表面缺陷识别的研究。
This paper reviews application process for surface decoration of wood furniture, including selection material, surface characteristic, defect analysis, pre-surface preparation and coloring etc.
综述了木家具表面涂饰的施工工艺,包括选材、面特征和缺陷分析、前处理及着色等。
This paper reviews application process for surface decoration of wood furniture, including selecting material, surface characteristic, defect analysis, pre-surface preparation and coloring etc.
综述了木家具表面涂饰的施工工艺,包括选材、表面特征和缺陷分析、涂前处理及着色等。
应用推荐