Bridge Safety Evaluation by RBF Neural Network with Genetic Algorithm

摘要：

Bridge safety evaluation is very important to ensure the safe work of bridge.In the study,RBF neural network with genetic algorithm is presented to evaluate bridge safety,genetic algorithm is adopted to select the parameters of RBF neural network to improve the performance of RBF neural network.The influencing factors and evaluation index of bridge safety evaluation are determined.Then,the experimental data on bridge safety evaluation are given,and bridge safety evaluation is created.It can be seen from the experimental results that the evaluation ability of GRBFNN is better than that of RBINN and BPNN.

关键词： bridge safety evaluation model bridge harm degree neural network

作者: Wang Bin-li Bai guang-liang Wei /hao-lan

作者单位: Southwest Jiao long University Chengdu 610031,China China Merchants Chongqing Communications Research & Design Institute Co.,Ltd.Chongqing 400067,China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information and Financial Engineering(2010年第二届IEEE信息与金融工程国际会议 ICIFE 2010)

会议地点: 重庆

会议语种:英文

页码: 563-566

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）