[1]郭克希,谭佩莲,唐进元..基于人工神经网络的螺旋锥齿轮磨削加工表面粗糙度预测[J].郑州大学学报(工学版),2009,30(03):65-67,74.[doi:10.3969/j.issn.1671-6833.2009.03.016]
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基于人工神经网络的螺旋锥齿轮磨削加工表面粗糙度预测()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
30卷
期数:
2009年03期
页码:
65-67,74
栏目:
出版日期:
1900-01-01

文章信息/Info

作者:
郭克希谭佩莲唐进元.
长沙理工大学,汽车与机械工程学院,湖南,长沙,410004, 中南大学,机电工程学院,湖南,长沙,410083
关键词:
神经网络 BP模型 螺旋锥齿轮 表面粗糙度
DOI:
10.3969/j.issn.1671-6833.2009.03.016
摘要:
影响螺旋雏齿轮磨削加工表面粗糙度Ra的因素众多且很不明确,Ra值的预测属于典型的模糊非线性问题.根据神经网络原理,建立了预测Ra的BP模型,此模型可精确地描述砂轮进给速度、齿深进给量对螺旋锥齿轮磨削加工表面粗糙度的影响.实验证明,用BP模型预测螺旋锥齿轮磨削加工表面粗糙度可获得平均相对误差为3.78%的高精度预测结果.

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更新日期/Last Update: 1900-01-01