摘要
应用神经网络技术对强化木地板表面质量分类检测问题进行了研究,利用神经网络的RBF网络结构进行合格和缺陷两类地板的分类试验。结果表明,RBF神经网络结构能够有效地对合格地板和缺陷地板进行分类。
Neural network technology is used to study the problems with the quality classification and inspection of laminate flooring surface and the classification test of eligible flooring and defective flooring is conducted using RBF neural structure of neural network.The result shows that RBF neural network structure can effectively classify eligible flooring and defective flooring.
出处
《林业机械与木工设备》
2010年第10期41-42,共2页
Forestry Machinery & Woodworking Equipment
关键词
神经网络
分类
质量检测
强化木地板
neural network
classification
quality inspection
laminate flooring
