基于模糊神经网络的道路毁损程度评价方法
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摘要
为深入研究道路毁损程度评价问题,将模糊理论与人工神经网络技术结合起来,提出了基于模糊神经网络的道路毁损程度评价方法。确定道路毁损程度评估的3个指标,并通过样本学习训练,获取评价专家的经验知识和直觉思维。将训练好的网络用于316国道震后某路段的毁损程度评估,并与已有评价方法的评估结果相比较。结果表明,采用模糊神经网络对道路毁损程度进行评估可降低评价过程中的人为因素影响,保证评价结果的客观性,提高评估效率。
A fuzzy-neural network for the assessment of road damage degree is set up through the combination of the fuzzy theory and the neural network,which is based on in-depth study of the existing methods for the road damage degree evaluation.Three evaluative indexes of the road damage degree were proposed,and the expert experience included in this model by training the fuzzy-neural network.The approach was illustrated for the damage degree evaluation of national road No.316 and compared with the existing assessment result.The result shows that the method is practical and is of high efficiency to assess the damage degree of highway system.
A fuzzy-neural network for the assessment of road damage degree is set up through the combination of the fuzzy theory and the neural network,which is based on in-depth study of the existing methods for the road damage degree evaluation.Three evaluative indexes of the road damage degree were proposed,and the expert experience included in this model by training the fuzzy-neural network.The approach was illustrated for the damage degree evaluation of national road No.316 and compared with the existing assessment result.The result shows that the method is practical and is of high efficiency to assess the damage degree of highway system.
引文
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[2]孙振凯,邹其嘉.公路桥梁地震易损性和震后恢复过程[J].华南地震,1999,19(2):62-70.SUN Zhenkai,ZOU Qijia.The seismic vulnerabilityand restoration process of road bridges after an earth-quake[J].South China Journal of Seismology,1999,19(2):62-70.(in Chinese).
[3]赵成刚,张锐,杜修力.珠江三角洲公路系统震害预测[J].华南地震,1995,15(3):34-39.ZHAO Chenggang,ZHANG Rui,DU Xiuli.Predic-tion of earthquake damage for road system in the pearlriver delta area[J].South China Journal of Seismolo-gy,1995,15(3):34-39.(in Chinese).
[4]董清林,杨绪连.地震对公路的危害及防守原则[J].灾害学,2004,19(z1):57-60.DONG Qinglin,YANG Xulian.Earthquake hazard onhighway and principle of earthquake hazard prevention[J].Journal of Catastrophology,2004,19(z1):57-60.(in Chinese).
[5]姚清林.优选地震救灾路径的图与模糊集算法[J].自然灾害学报,2006,15(2):143-147.YAO Qinglin.Graph and fuzzy set algorithm of optimi-zing routes for earthquake rescue[J].Journal of Natu-ral Disasters,2006,15(2):143-147.(in Chinese).
[6]兰日清,丰彪,王自法.震后公路桥梁通行能力快速评估技术研究[J].世界地震工程,2009,25(2):81-87.LAN Riqing,FENG Biao,WANG Zifa.Study on thefast assessment of traffic capacity of highway bridgesafter strong earthquakes[J].World Earthquake Engi-neering,2009,25(2):81-87.(in Chinese).
[7]杨中,王玮,王彩芬,等.基于GIS的道路震害损毁评估方法研究与实现[J].科技情报开发与经济,2010,20(26):164-167.YANG Zhong,WANG Wei,WANG Caifen,et al.Study on the loss assessment of road earthquake dam-age based on GIS[J].Sci-Tech Information Develop-ment&Economy,2010,20(26):164-167.(in Chi-nese).
[8]赵宜宾,王艳萍,刘文堂,等.基于模糊综合评价的道路震害预测评估方法[J].世界地震工程,2010,26(3):139-144.ZHAO Yibin,WANG Yanping,LIU Wentang,et al.The earthquake disaster prediction and evaluationmethod of the highway system based on fuzzy compre-hensive evaluation[J].World Earthquake Engineering,2010,26(3):139-144.(in Chinese).
[9]刘沐宇,袁卫国.基于模糊神经网络的大跨度钢管混凝土拱桥安全性评价方法研究[J].中国公路学报,2004,17(4):55-58.LIU Muyu,YUAN Weiguo.Research on safety as-sessment of long-span concrete-filled steel tube archbridge based on fuzzy-neural network[J].China Jour-nal of Highway and Transport,2004,17(4):55-58.(in Chinese).
[10]韩力群.人工神经网络理论、设计及应用[M].北京:化学工业出版社,2004.
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