| 改进的BP算法在磨粒识别中的应用 |
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| 引用本文： | 康剑莉,芦亚萍,周银生.改进的BP算法在磨粒识别中的应用[J].润滑与密封,2005(2):149-150,154. |
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| 作者姓名： | 康剑莉 芦亚萍 周银生 |
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| 作者单位： | 1. 浙江大学机械系,浙江杭州,310027
2. 宁波高等专科学院,浙江宁波,315016 |
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| 摘 要： | 提出了用隐层和输出层的权值单独修改的方法来改进神经网络算法，建立了适于磨粒的分析模型，设计了智能磨粒识别分类器。实例表明，用该方法可以准确识别磨粒类型，并具有较好的推广能力。
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| 关 键 词： | BP算法 分类器 推广能力 磨粒识别 输出层 权值 神经网络算法 分析模型 智能 准确 |
| 文章编号： | 0254-0150(2005)2-149-2 |
Wear Particle Recognition with Improved BP Algorith |
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| Kang Jianli,LU Yaping,ZHOU Yinsheng.Wear Particle Recognition with Improved BP Algorith[J].Lubrication Engineering,2005(2):149-150,154. |
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| Authors: | Kang Jianli LU Yaping ZHOU Yinsheng |
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| Affiliation: | Kang Jianli1 Lu Yaping2 Zhou Yinsheng1 |
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| Abstract: | An improved BP algorithm was presented,based on this an automate wear particle recognition model and its system was designed.The example shows that this system can promote the accuracy of wear particles recognition and improve the generalization capability. |
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| Keywords: | neural network wear particle recognition BP algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
