BP神经网络主成分分析在试飞数据预测中的应用 |
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引用本文: | 陆兵焱,陈友龙,李映颖. BP神经网络主成分分析在试飞数据预测中的应用[J]. 科技信息, 2009, 0(17): 29-30 |
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作者姓名: | 陆兵焱 陈友龙 李映颖 |
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作者单位: | 中国人民解放军海军航空工程学院青岛分院; |
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摘 要: | 本文采用主成分分析与BP神经网络相结合的方法对试飞数据进行了预测,同时还对BP神经网络主成分分析法与全要素BP神经网络分析法进行了比较.结果表明BP神经网络主成分分析法具有精度更高、收敛速度更快等特点。
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关 键 词: | BP神经网络 主成分分析 试飞数据 预测 |
The Forecast of the Pre-Processing Data with BP Neural Network and Principal Component Analysis |
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Abstract: | This passage talks about how to forecast the pre-processing data with the BP Neural Network and the Principal Component Analysis, and compares the BP Neural Network--Principal Component Analysis method with the whole factor---BP Neural Network. The result indicates that the BP Neural Network--Principal Component Analysis method has the characteristics of higher precision and faster convergence speed etc. |
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Keywords: | BP Neural Network Principal Component Analysis The pre-processing data Forecast |
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