西华大学学报（自然科学版）2018，Vol.37Issue(2)：13-18,6.DOI:10.3969/j.issn.1673-159X.2018.02.003
一种基于神经网络和遗传算法的桥梁加速度传感器优化布置方法
A Optimal Placement Method of Bridge Acceleration Sensor Based on Neural Network and Genetic Algorithm
摘要
Abstract
As for bridge acceleration sensor,a layout method is presented based on neural network and genetic al-gorithm. By using ANSYS software,bridge model was established and the modal data was obtained. A data set was formed with randomly generated layout scheme and the corresponding MAC value.Neural network model of double hid-den layer was set up to train.The trained model was used to search the optimal value and the corresponding layout scheme based on genetic algorithm.Experiment results show that the method is feasible.关键词
传感器/优化布置/神经网络/遗传算法Key words
sensors/optimal placement/neural networks/genetic algorithm分类
信息技术与安全科学引用本文复制引用
袁灿,唐川田,李文钊..一种基于神经网络和遗传算法的桥梁加速度传感器优化布置方法[J].西华大学学报（自然科学版）,2018,37(2):13-18,6.基金项目
重庆市科委基金项目(cstc2016shmszx30026) （cstc2016shmszx30026）
重庆高校创新团队建设计划项目(CXTDG201602013) （CXTDG201602013）
乌鲁木齐市科学技术计划项目(Y161320008). （Y161320008）
