| 人工神经网络在维修性预计中的应用 |
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| 引用本文： | 姜伟,陶凤和,段超,高磊.人工神经网络在维修性预计中的应用[J].兵工自动化,2005,24(6):25-26. |
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| 作者姓名： | 姜伟 陶凤和 段超 高磊 |
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| 作者单位： | 军械工程学院火炮工程系,河北,石家庄,050003;驻127厂军代室,黑龙江,齐齐哈尔,161000;驻9804厂军代室,云南,曲靖,655000 |
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| 摘 要： | 维修性预计运用BP神经网络,并以Matlab BP工具箱函数建立产品的维修性预计模型.其建模步骤包括:确定训练样本、建立网络并对其进行初始化、对网络进行训练及对产品维修性参数预计.并对某火炮中主要机构进行维修性分析和仿真,通过对训练样本规范化处理,再应用相应数据预计网络模型,最后检验网络训练效果.
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| 关 键 词： | 维修性预计 维修性模型 BP Matlab BP |
| 文章编号： | 1006-1576（2005）06-0025-02 |
| 收稿时间： | 2005-06-11 |
| 修稿时间： | 2005-07-04 |
Application of Neural Network in Maintainability Prediction |
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| JIANG Wei,TAO Feng-he,DUAN Chao,GAO Lei.Application of Neural Network in Maintainability Prediction[J].Ordnance Industry Automation,2005,24(6):25-26. |
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| Authors: | JIANG Wei TAO Feng-he DUAN Chao GAO Lei |
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| Affiliation: | 1. Dept. of Guns Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 2. Office of Military Affairs delegate, National No. 127 Factory, Qiqihaer 161000, China; 3. Office of Military Affairs delegate, National No. 9804 Factory, Qujing 655000, China |
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| Abstract: | The maintainability prediction model based on BP neural network was set up with Matlab function of BP algorithm according to main factors affecting on products maintainability. Its processes includes confirming training samples, putting up the network and initializing it, training the network and predicting maintainability parameters of the products. Maintainability analysis and simulation was made for the main mechanisms of some artillery. The trained samples were processed for standardization, and then network model was predicted with pertinent data. At last, the result of network training was checked with the corresponding prediction model. |
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| Keywords: | Maintainability prediction Maintainability model BP Matlab BP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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