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基于模糊神经网络的高寒路基纵向裂缝危险度综合评价

DOI: 10.3969/j.issn.1674-0696.2015.04.12, PP. 68-72

Keywords: 道路工程,路基工程,纵向裂缝,致灾因子,模糊神经网络,roadengineering,subgrade,longitudinalcracks,hazardfactor,fuzzyneuralnetwork

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Abstract:

:？以高寒地区自然环境因素、设计因素、冻土因素三类致灾因子指标作为输入变量，根据模糊推理规则构建路基纵向裂缝评价的非线性映射关系，通过对输入知识的预处理和输出知识的后处理，将模糊逻辑推理融入神经网络的非线性计算中，建立了综合评价模型。以青藏公路典型路段K3+020段为例，基于11类致灾因子评价该路段纵向裂缝的危险度为2级。结果表明：高寒路基纵向裂缝危险度模糊神经网络综合评价模型可用于评价纵向裂缝的发育程度，经济性好、实用性强。

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