应用激光, 2002, 22 (5): 453, 网络出版: 2006-05-10
基于自适应小波网络的激光切割表面质量预报的研究
The Prediction of Method on Adaptive Wavelets Network for the Qualityof Laser Cutting Surface
摘要
基于自适应小波网络理论,建立了一个应用于激光切割质量预报与激光能量、激光切割速度、辅助气体压力及材料厚度之间关系的自适应小波网络分类器.仿真结果表明,该方法具有良好的识别性能,且收敛速度快,是一种有效的预报方法.
Abstract
An adaptive wavelet network classifier for the quality of laser cutting face, which is connected with the laser power, the cutting speed, the assistant gas pressure, the material thickness, is proposed based on the theory of adaptive wavelet network. The results of simulation show that this method has better identifiable, faster speed of learning properties and it is an efficient prediction method.
花银群, 陈瑞芳, 肖建云. 基于自适应小波网络的激光切割表面质量预报的研究[J]. 应用激光, 2002, 22(5): 453. 花银群, 陈瑞芳, 肖建云. The Prediction of Method on Adaptive Wavelets Network for the Qualityof Laser Cutting Surface[J]. APPLIED LASER, 2002, 22(5): 453.
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