摘要
提出了一种利用人工神经网络的非线性逼近和自学习的能力,对凸轮轮廓进行曲线插补的方法,理论研究和仿真试验表明,该方法插补速度快、精度高、能够满足实时插补的需要。
This paper introduces that artificial neural networks have strong ability of nonlinear processing and self-learning,proposed a new method of the Cam Outlines interpolation by using the artificial neural networks theory.The research and the simulation calculation demonstrate that the feature of this method is high precision and fast simulation,it can meet the need of real-time interpolation.
出处
《机电产品开发与创新》
2008年第3期190-191,共2页
Development & Innovation of Machinery & Electrical Products
关键词
人工神经网络
插补
凸轮轮廓
artificial neural networks（ANN）
interpolation
cam outlines
