A Optimal Placement Method of Bridge Acceleration Sensor Based on Neural Network and Genetic Algorithm

YUAN Can; TANG Chuantian; LI Wenzhao

doi:10.3969/j.issn.1673-159X.2018.02.003

YUAN Can, TANG Chuantian, LI Wenzhao. A Optimal Placement Method of Bridge Acceleration Sensor Based on Neural Network and Genetic Algorithm[J]. Journal of Xihua University(Natural Science Edition), 2018, 37(2): 13-18. DOI: 10.3969/j.issn.1673-159X.2018.02.003

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A Optimal Placement Method of Bridge Acceleration Sensor Based on Neural Network and Genetic Algorithm

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As for bridge acceleration sensor, a layout method is presented based on neural network and genetic algorithm. 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 hidden 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.

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A Optimal Placement Method of Bridge Acceleration Sensor Based on Neural Network and Genetic Algorithm

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