工程科学学报 Chinese Journal of Engineering 一维卷积神经网络特征提取下微展能级时序预测 裴艳宇杨小彬传金平吴学松程虹铭吕祥锋 Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network PEI Yan-yu,YANG Xiao-bin,CHUAN Jin-ping,WU Xue-song,CHENG Hong-ming,L Xiang-feng 引用本文： 裴艳宇，杨小彬，传金平，吴学松，程虹铭，吕祥锋.一维卷积神经网络特征提取下微震能级时序预测).工程科学学报， 2021,43(7:1003-1009.doi:10.13374.issn2095-9389.2020.11.22.001 PEI Yan-yu,YANG Xiao-bin,CHUAN Jin-ping,WU Xue-song,CHENG Hong-ming,L Xiang-feng.Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network[J].Chinese Journal of Engineering,2021,43(7):1003-1009.doi10.13374.issn2095-9389.2020.11.22.001 在线阅读View online::htps/ldoi.org/10.13374/.issn2095-9389.2020.11.22.001 您可能感兴趣的其他文章 Articles you may be interested in 基于集成神经网络的剩余寿命预测 Remaining useful life prediction based on an integrated neural network 工程科学学报.2020.42(10：1372htps:doi.org/10.13374.issn2095-9389.2019.10.10.005 卷积神经网络在矿区预测中的研究与应用 Research and application of convolutional neural network in mining area prediction 工程科学学报.2020.42(12：1597htps:/doi.org/10.13374.issn2095-9389.2020.01.02.001 基于卷积神经网络的反无人机系统声音识别方法 Sound recognition method of an anti-UAV system based on a convolutional neural network 工程科学学报.2020,42(11)：1516 https:/doi.org10.13374.issn2095-9389.2020.06.30.008 基于深度卷积神经网络的地磁导航方向适配性分析 Direction-matching-suitability analysis for geomagnetic navigation based on convolutional neural networks 工程科学学报.2017,39(10：1584htps:1doi.org/10.13374.issn2095-9389.2017.10.018 BP神经网络F钢铝耗的预测模型 Prediction model of aluminum consumption with BP neural networks in IF steel production 工程科学学报.2017,394：511htps:/doi.org10.13374.issn2095-9389.2017.04.005 岩爆结构面强度的弱化特征 Strength weakening characteristic of rock burst structural planes 工程科学学报.2018.40(3)：269 https:1doi.org/10.13374.issn2095-9389.2018.03.002一维卷积神经网络特征提取下微震能级时序预测 裴艳宇 杨小彬 传金平 吴学松 程虹铭 吕祥锋 Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network PEI Yan-yu, YANG Xiao-bin, CHUAN Jin-ping, WU Xue-song, CHENG Hong-ming, L Xiang-feng 引用本文: 裴艳宇, 杨小彬, 传金平, 吴学松, 程虹铭, 吕祥锋. 一维卷积神经网络特征提取下微震能级时序预测[J]. 工程科学学报, 2021, 43(7): 1003-1009. doi: 10.13374/j.issn2095-9389.2020.11.22.001 PEI Yan-yu, YANG Xiao-bin, CHUAN Jin-ping, WU Xue-song, CHENG Hong-ming, L Xiang-feng. Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network[J]. Chinese Journal of Engineering, 2021, 43(7): 1003-1009. doi: 10.13374/j.issn2095-9389.2020.11.22.001 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2020.11.22.001 您可能感兴趣的其他文章 Articles you may be interested in 基于集成神经网络的剩余寿命预测 Remaining useful life prediction based on an integrated neural network 工程科学学报. 2020, 42(10): 1372 https://doi.org/10.13374/j.issn2095-9389.2019.10.10.005 卷积神经网络在矿区预测中的研究与应用 Research and application of convolutional neural network in mining area prediction 工程科学学报. 2020, 42(12): 1597 https://doi.org/10.13374/j.issn2095-9389.2020.01.02.001 基于卷积神经网络的反无人机系统声音识别方法 Sound recognition method of an anti-UAV system based on a convolutional neural network 工程科学学报. 2020, 42(11): 1516 https://doi.org/10.13374/j.issn2095-9389.2020.06.30.008 基于深度卷积神经网络的地磁导航方向适配性分析 Direction-matching-suitability analysis for geomagnetic navigation based on convolutional neural networks 工程科学学报. 2017, 39(10): 1584 https://doi.org/10.13374/j.issn2095-9389.2017.10.018 BP神经网络IF钢铝耗的预测模型 Prediction model of aluminum consumption with BP neural networks in IF steel production 工程科学学报. 2017, 39(4): 511 https://doi.org/10.13374/j.issn2095-9389.2017.04.005 岩爆结构面强度的弱化特征 Strength weakening characteristic of rock burst structural planes 工程科学学报. 2018, 40(3): 269 https://doi.org/10.13374/j.issn2095-9389.2018.03.002