| 基于遗传算法的人工神经网络在航空发动机磨损预测中的应用 |
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| 引用本文： | 姜旭峰,费逸伟,王惠,钟新辉.基于遗传算法的人工神经网络在航空发动机磨损预测中的应用[J].润滑与密封,2007,32(2):168-170,188. |
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| 作者姓名： | 姜旭峰 费逸伟 王惠 钟新辉 |
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| 作者单位： | 徐州空军学院,江苏徐州,221006;徐州空军学院,江苏徐州,221006;徐州空军学院,江苏徐州,221006;徐州空军学院,江苏徐州,221006 |
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| 摘 要： | 提出了一种将遗传算法和BP算法相结合的学习算法来训练BP神经网络，实现网络结构的优化，并用优化后的BP人工神经网络建立了航空发动机的磨损预测模型。将该模型预测结果与BP算法和多元线性回归法的预测结果进行了比较。检验结果表明：基于遗传算法的BP神经网络优于BP算法及多元线性回归法，具有良好的预测效果。
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| 关 键 词： | 遗传算法 BP神经网络 航空发动机 磨损 预测 |
| 文章编号： | 0254-0150（2007）2-168-3 |
| 修稿时间： | 2006-02-06 |
Application of BP Neural Network Based on GA to Predicting Wear of Aeroengine |
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| Jiang Xufeng,Fei Yiwei,Wang Hui,Zhong Xinhui.Application of BP Neural Network Based on GA to Predicting Wear of Aeroengine[J].Lubrication Engineering,2007,32(2):168-170,188. |
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| Authors: | Jiang Xufeng Fei Yiwei Wang Hui Zhong Xinhui |
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| Affiliation: | Xuzhou Air Force Institute, Xuzhou Jiangsu 221006, China |
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| Abstract: | A prediction model based on the GA(genetic algorithm) and BP(back propagation) network by using GA to train BP neural network and optimize network structure was presented.The wear of aeroengine was estimated by the optimized network.The result of this approach was compared with that of the simple BP network as well as Poly-regression model.The results indicate that BP neural network based on GA is superior to the simple BP network and the Poly-regression model. |
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| Keywords: | genetic algorithm BP neural network aeroengine wear prediction |
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