遗传优化神经网络方法在桥梁震害预测中的应用

英文篇名：The application of genetic algorithms and BP neural network to seismic damage prediction of bridges
中文刊名：地震工程与工程振动
英文刊名：Journal of Earthquake Engineering and Engineering Vibration
作者：柳春光 ; 张利华
英文作者：LIU Chunguang ; ZHANG Lihua(1.State Key Laboratory of Coastal and Offshore Engineering ; Dalian University of Technology ; Dalian 116024 ; China ; 2.School of Civil and Hydraulic Engineering ; Dalian University of Technology ; Dalian 116024 ; China)
中文关键词：桥梁震害 ; 震害预测 ; 遗传算法 ; 神经网络 ; 遗传优化神经网络方法
英文关键词：seismic damage of bridges ; earthquake damage prediction ; genetic algorithm ; neural network ; GA-BP method.
出版日期：2008-02-15
机构：大连理工大学海岸与近海工程国家重点实验室,大连理工大学土木水利学院辽宁大连116024,辽宁大连116024
年：2008
期：01
出版单位：地震工程与工程振动

摘要

本文将遗传算法与神经网络相结合,从而建立了一种高效的、实用的桥梁震害预测方法。根据遗传算法具有局部寻优的特点,为避免BP神经网络陷入局部极小值,本文将二者结合起来形成GA-BP混合算法,以GA优化神经网络的初始权值和阈值,对网络进行训练。在大量收集梁式桥震害资料的基础上,将此算法引入桥梁的震害预测中,并与传统的单独BP神经网络相比较,结果表明该方法能够有效、准确地对桥梁结构进行震害预测。
The paper presents an effective method for predicting the seismic damage to bridges.To avoid the BP algorithm′s shortcoming of trapping in a local optimum and to take advantage of the genetic algorithm′s globe optimal searching,a new kind of hybrid algorithm was formed based on GA and BP in this paper.First,the initialized weights and threshold of BP neural network was optimized with GA,and then train the network with GA-BP.After collecting a great deal of information of girder-style bridges,the hybrid algorithm was introduced into the earthquake damage prediction,then compare with the single BP neural network.The results show that GA-BP algorithm is an effective and accurate method for seismic damage prediction of bridges.

引文

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