| 基于深度全连接神经网络的大坝变形预测研究 |
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| 引用本文： | 杨恒,岳建平,邢尹,周钦坤.基于深度全连接神经网络的大坝变形预测研究[J].大地测量与地球动力学,2021,41(2):162-166. |
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| 作者姓名： | 杨恒 岳建平 邢尹 周钦坤 |
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| 作者单位： | 河海大学地球科学与工程学院,南京市佛城西路8号,211100;河海大学地球科学与工程学院,南京市佛城西路8号,211100;河海大学地球科学与工程学院,南京市佛城西路8号,211100;河海大学地球科学与工程学院,南京市佛城西路8号,211100 |
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| 基金项目： | 项目来源：国家重点研发计划 |
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| 摘 要： | 将深度全连接神经网络引入大坝变形预测领域，结合大坝多源监测数据的训练样本，建立基于深度全连接神经网络的大坝变形预测模型。利用几种常见的深度优化学习算法对模型进行优化训练，通过对比各损失函数的变化曲线选取最优学习算法，进一步构建基于最优学习算法的深度全连接神经网络大坝变形预测模型；最后结合大坝多源监测数据的测试样本对模型进行检验分析，并将预测结果和传统BP神经网络的预测结果进行对比。研究结果表明，本文的深度全连接神经网络模型预测精度高、实用性强，可为大坝安全监控提供参考。
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| 关 键 词： | 大坝变形 全连接神经网络 深度优化学习算法 预测 |
Research on Dam Deformation Prediction Based on Deep Fully Connected Neural Network |
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| YANG Heng,YUE Jianping,XING Yin,ZHOU Qinkun.Research on Dam Deformation Prediction Based on Deep Fully Connected Neural Network[J].Journal of Geodesy and Geodynamics,2021,41(2):162-166. |
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| Authors: | YANG Heng YUE Jianping XING Yin ZHOU Qinkun |
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| Institution: | (School of Earth Science and Engineering,Hohai University,8 West-Focheng Road,Nanjing 211100,China) |
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| Abstract: | In this paper,we introduce the deep fully connected neural network into the field of dam deformation prediction.Based on the training samples of dam multi-source monitoring data,we establish a dam deformation prediction model based on deep fully connected neural network.We use several common deep optimization learning algorithms to optimize the model training,select the optimal learning algorithm by comparing the change curves of each loss function,and further construct a deep fully connected neural network dam deformation prediction model based on the optimal learning algorithm.Finally,we test and analyze the model in combination with the test samples of the dam multi-source monitoring data,and compare the prediction results with those of the traditional BP neural network.The research shows that the deep fully connected neural network in this paper has high prediction accuracy and strong practicability.It can provide a certain reference value for dam safety monitoring. |
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| Keywords: | dam deformation fully connected neural network deep optimization learning algorithm prediction |
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