| 模糊神经网络在桥梁结构等级评估中的应用 |
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| 引用本文： | 陈静,赵鑫. 模糊神经网络在桥梁结构等级评估中的应用[J]. 交通与计算机, 2006, 24(2): 79-81 |
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| 作者姓名： | 陈静 赵鑫 |
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| 作者单位： | 武汉理工大学,武汉,430070 |
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| 摘 要： | 针对模糊综合评判在确定权重上的不精确性，用模糊神经网络方法对桥梁进行等级评估。通过大量输入数据的训练得出实用的判决系统，不仅消除了权向量选取仅靠经验的缺憾，而且加快了判决结果的得出。通过各次权值对比与误差分析，证明了神经网络的有效收敛及该方法的精确性。
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| 关 键 词： | 模糊神经网络方法 桥梁等级 评估 模糊评判 |
| 收稿时间： | 2005-10-31 |
| 修稿时间： | 2005-10-31 |
Application of Fuzzy-neural Net to Grade Estimation of Bridge Structure |
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| CHEN Jing,ZHAO Xin. Application of Fuzzy-neural Net to Grade Estimation of Bridge Structure[J]. Computer and Communications, 2006, 24(2): 79-81 |
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| Authors: | CHEN Jing ZHAO Xin |
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| Abstract: | Fuzzy-neural net method is applied to grade estimation of bridge structure according to the inaccurate faulty of fixing weight through using fuzzy judgement. The practical judgement system is obtained by training with a lot of input data. Not only the choice faulty of weight depending on experience is eliminated, but also the acquiring result is accelerated. The convergence and the accuracy of fuzzy-neural net method are proved by weight contrast and error analysis. |
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| Keywords: | fuzzy-neural net method bridge grade estimation fuzzy judgement |
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