| 基于神经网络的仿真输出数据的分布识别 |
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| 引用本文： | 鲍居武,王殿元.基于神经网络的仿真输出数据的分布识别[J].北京航空航天大学学报,1994,20(3):315-321. |
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| 作者姓名： | 鲍居武 王殿元 |
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| 作者单位： | 北京航空航天大学管理学院，北京理工大学 |
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| 摘 要： | 分布识别在仿真输出数据的分析中有着重要的理论和实际价值，但长期以来一直没有很好解决，在研究和改进神经网络的基础上，提出用多层感知机ＢＰ网格进行分布识别，给出了基于ＮＮ的分布识别模型，并进行了实验检验，实验结果表明本方法识别效率高，并具有很高的可靠性，可以辅助分析者作出准确的判断。
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| 关 键 词： | 神经网络 模式识别 概率分布 |
DISTRIBUTION RECOGNITION OF SIMULATION OUTPUT DATA BASED ON NEURAL NETWORK |
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| Bac Juwu Feng Yuncheng.Wang Dianyuan.DISTRIBUTION RECOGNITION OF SIMULATION OUTPUT DATA BASED ON NEURAL NETWORK[J].Journal of Beijing University of Aeronautics and Astronautics,1994,20(3):315-321. |
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| Authors: | Bac Juwu Feng YunchengWang Dianyuan |
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| Abstract: | Distribution recognition is of significant value both in theory and in practice for simulation output data analysis. Yet for a long time. this problem has not been well solved. Based onresearch results of neural network (NN) improvements.this paper presents an approach torecognize distribution and a distribution recognition model based on NN. The result of experiment and test shows that this new approach is highly efficient and with reliability. It canhelp the analyst make more precise decisions. |
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| Keywords: | neural networks pattern recognition f probability distributions:distribution recognition:simulation output data |
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