| 人工神经网络神经元活动状态的鉴别 |
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| 引用本文： | 周迪勋,邢更生,周毓菁,王暄.人工神经网络神经元活动状态的鉴别[J].武汉理工大学学报,1995(3). |
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| 作者姓名： | 周迪勋 邢更生 周毓菁 王暄 |
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| 作者单位： | 武汉工业大学计算中心 |
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| 摘 要： | 神经网络的神经元是状态响应的信号部件，神经元状态直接影响神经网络的输出信息精度．本文探讨神经元活动状态的鉴别技术，考虑了活动状态的强度，它将提高一般神经网络模型的精度．
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| 关 键 词： | 神经网络 神经元 兴奋 抑制 |
Artificial Neural Networks Distinguish of Active State on Neural Element |
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| Zhou Dixun,Xing Geagsheng,Zhou Yujing,Wang Xuan,Computing Center,WUT,Wuhan ,China..Artificial Neural Networks Distinguish of Active State on Neural Element[J].Journal of Wuhan University of Technology,1995(3). |
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| Authors: | Zhou Dixun Xing Geagsheng Zhou Yujing Wang Xuan Computing Center WUT Wuhan China |
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| Affiliation: | Zhou Dixun,Xing Geagsheng,Zhou Yujing,Wang Xuan,Computing Center,WUT,Wuhan 430070,China.) |
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| Abstract: | Neural element of neural networks is the symbol component of state response. The state of neural element directly influences the precision of output information of neural networks. This paper discusses the distinguish of active state on neural element. Considering the intensity of active state,we will improve the precision of general neural networks models. |
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| Keywords: | neural networks neural element excitement refrain |
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