| 余震区长度与震级关系的模糊神经元网络模型 |
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| 引用本文： | 王家鼎,黄崇福.余震区长度与震级关系的模糊神经元网络模型[J].西北地震学报,1995,17(1):62-68. |
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| 作者姓名： | 王家鼎 黄崇福 |
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| 作者单位： | 西北大学城市与资源学系，北京航空航天大学 |
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| 摘 要： | 本文试图将模糊人工神经元网张及模糊信息分析理论引入到余震区长度与震级关系的识别之中，采用信息扩散与ＢＰ型人工神经元网络相结合的方法建立模型，该模型有较强的自适应能力及处理矛盾样本的功能。最后将该模型的识别结果与统计结果瑟统计结果进行了比较，结果表明该模型具有一定的优越性。
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| 关 键 词： | 模糊识别 信息处理 余震 震级 神经网络模型 |
| 收稿时间： | 1993/12/10 0:00:00 |
A MODEL OF FUZZY NEURON ON THE RELATIONSHIP BETWEEN LENGTH OF AFTERSHOCK AREA AND MAGNITUDE |
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| Wang Jiading and Huang Chongfu.A MODEL OF FUZZY NEURON ON THE RELATIONSHIP BETWEEN LENGTH OF AFTERSHOCK AREA AND MAGNITUDE[J].Northwestern Seismological Journal,1995,17(1):62-68. |
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| Authors: | Wang Jiading and Huang Chongfu |
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| Institution: | Northwest University, Xi''an 710069 and Beijing University of Aeronautics and Astronautics, Beijing 100083 |
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| Abstract: | By using information diffusion method combined with BP neural network,the authorssuggest a kind of fuzzy neuron in present paper.The model of relationship between length ofaftershock area and magnitude is discussed by the fuzzy neuron. This model has strong adapt-ability and can treat contradictory samples. Comparison of the results of this model with thoseof statistical method shows the advantage of the model. |
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| Keywords: | Fuzzy identification Information processing Aftershock Magnitude Model |
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