| 基于Hopfield神经网络的滚动轴承优化设计方法 |
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| 引用本文： | 陈果,殷国富,王皓辉,周自平.基于Hopfield神经网络的滚动轴承优化设计方法[J].机械工程与自动化,2007(1):4-6. |
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| 作者姓名： | 陈果 殷国富 王皓辉 周自平 |
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| 作者单位： | 四川大学,制造科学与工程学院,四川,成都,610065 |
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| 摘 要： | 在分析论述Hop fie ld神经网络优化原理的基础上,提出了应用Hop fie ld神经网络优化原理对滚动轴承结构尺寸进行优化设计的方法。算例结果表明优化得到的设计优于经验设计,是一种有效的滚动轴承优化方法。
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| 关 键 词： | Hopfield神经网络 滚动轴承 优化 |
| 文章编号： | 1672-6413(2007)01-0004-03 |
| 修稿时间： | 2006-07-19 |
Study on Optimum Design Methods of Rolling Bearing Based on Hopfield Neural Network |
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| CHEN Guo,YIN Guo-fu,WANG Hao-hui,ZHOU Zi-ping.Study on Optimum Design Methods of Rolling Bearing Based on Hopfield Neural Network[J].Mechanical Engineering & Automation,2007(1):4-6. |
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| Authors: | CHEN Guo YIN Guo-fu WANG Hao-hui ZHOU Zi-ping |
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| Affiliation: | School of Manufacturing Science and Engineering,Sichuan University,Chengdu 610065,China |
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| Abstract: | This paper proposes the method of applying Hopfield Neural Network in rolling bearing design based on the analysis of its principle and optimum function.Experiment shows that this method outperforms the experiential one,and is proved to be efficient. |
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| Keywords: | HNN rolling bearing optimization |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
