| 引用本文: | 杨海峰,周新宇,张洪波,李杰,海锦涛.滑动轴承材料摩擦因数预测的2种方法[J].中国表面工程,2002,(3):27~32 |
| .Two Methods of Friction Coefficient prediction of sliding bearing materials[J].China Surface Engineering,2002,(3):27~32 |
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| 摘要: |
| 在对多元非线性回归模型和BP网络模型分析的基础上，将幂函数曲线回归模型和Baysiane规则化BP网络对滑动轴承合金材料的摩擦因数进行预测比较，分析了2种方法的预测效果不同的原因，并针对滑动轴承材料摩擦因数预测给出了以全样本进行训练的Baysiane规则化BP网络的结构。 |
| 关键词: 多元非线性回归分析 BP网络 滑动轴承材料 摩擦因数 小样本 |
| DOI： |
| 分类号:TH133.31 TH117.1 |
| 基金项目: |
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| Two Methods of Friction Coefficient prediction of sliding bearing materials |
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YANG Hai-feng ZHOU Xin-yu ZHANG Hong-sheng LI Jie HAI Jin-tao
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| Abstract: |
| Based on the analysis of multi-element non-linear regression model and BP network model, the friction coefficient of sliding bearing materials was predicted by the power-law curve regression model and Baysiane regularized BP network. The reasons of their different results were analysed as well. The BP network structure trained by full-sample was proposed. |
| Key words: multi-element non-linear regression analysis,BP network,sliding bearing materials,friction coefficient, |
