摘要
在设计圆锥齿轮与双曲面齿轮传动时,很多参数的确定是靠经验和一些不是很精确的公式、图表给出的,给规范化的计算机辅助设计带来了很多不便,为此,应用神经网络方法进行辅助设计,规范某些设计环节,取得一定效果.具体数据应用表明这种方法是可行的.
During Bevel gear and Hyperboloid gear's design,many parameters are chosen by experiences and fuzzy charts.These bring designers a lot of bother.In this paper,artificial neural network was used to deal these troubles.It was mainly used to map the chart during design.This paper introduces the theory of back propagation neural network and analyzes it's short coming.An improved back propagation neural network was used in feature recognition.The application of real data and chart shows that the ANN can express these data correctly.The identification can suffice calculating requirement with good precision.
出处
《沈阳工业大学学报》
EI
CAS
2004年第1期4-6,共3页
Journal of Shenyang University of Technology
基金
国家自然科学基金资助项目(59835050)
关键词
汽车
主减速器
神经网络
automotive
main reducer
artificial neural network
