| 人工神经网络特征优化方法在模式识别中的应用 |
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| 引用本文： | 乔新勇,刘建敏,康崴,曲晓慧.人工神经网络特征优化方法在模式识别中的应用[J].装甲兵工程学院学报,2003,17(1):33-36. |
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| 作者姓名： | 乔新勇 刘建敏 康崴 曲晓慧 |
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| 作者单位： | 装甲兵工程学院机械工程系,北京,100072 |
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| 摘 要： | 在模式识别中,特征量的选择及组合优化是设计模式识别系统的关键问题,它强烈地影响到分类器的设计及其性能。人工神经网络除了在模式识别中作为分类器应用之外,而且能够实现特征参数的提取。通过采用人工神经网络模型,对柴油机故障的特征量优化方法进行了研究,实现了对柴油机故障的特征提取及优化。
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| 关 键 词： | 模式识别 特征优化 神经网络 |
| 修稿时间： | 2002年9月16日 |
Application of the Method for Characteristics Optimization Based on the Artificial Neural Network in Pattern Recognition |
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| QIAO Xing-yong LIU Jian-min KANG Wei QU Xiao-hui.Application of the Method for Characteristics Optimization Based on the Artificial Neural Network in Pattern Recognition[J].Journal of Armored Force Engineering Institute,2003,17(1):33-36. |
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| Authors: | QIAO Xing-yong LIU Jian-min KANG Wei QU Xiao-hui |
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| Institution: | QIAO Xing-yong LIU Jian-min KANG Wei QU Xiao-hui |
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| Abstract: | In pattern recognition, the selection, combination and optimization of the characteristics are very important in designing pattern recognition system. It strongly influences the design of the sorter and its performance. In addition to serve as a sorter in pattern recognition, the artificial neural network can also extract characteristic parameters. In this paper, by employing artificial neural network, studied the method for optimization of diesel engine fault characteristics and realized the extraction and optimization of diesel engine fault characteristics. |
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| Keywords: | pattern recognition characteristic optimization neural network |
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