摘要
以RBF神经网络理论为基础,设计实现了焊接材料计算机辅助设计系统。应用该系统能建立影响因子与性能指标之间的人工神经网络模型,并以此为基础建立了性能预测、配方预报、分析等功能模块,对焊接材料研发人员探索影响因子与性能指标之间关系具有较大的实际意义。
Based on the theory of RBF neural networks, this paper designed CAD of welding materials. This CAD can found the model of artificial neural networks of influential factories and capabilities. On the base of that, it can found the function module of forecasting capabilities, forecasting components and analyzing. It is of great practical significance to researcher to study the relation between influential factories and capabilities.
出处
《江西科学》
2006年第4期222-225,共4页
Jiangxi Science
关键词
焊接材料
径向基神经网络
计算机辅助设计
Welding materials, Radial basis function neural network, Computer aided design
