工程科学学报 Chinese Journal of Engineering 基于一维卷积特征与手工特征融合的集成超限学习机心跳分类方法 许越凡肖文栋曹征涛 Ensemble extreme learning machine approach for heartbeat classification by fusing Id convolutional and handerafted features XU Yue-fan.XIAO Wen-dong,CAO Zheng-tao 引用本文： 许越凡，肖文栋，曹征涛.基于一维卷积特征与手工特征融合的集成超限学习机心跳分类方法[J.工程科学学报，2021， 43(9):1224-1232.doi:10.13374.issn2095-9389.2021.01.12.005 XU Yue-fan,XIAO Wen-dong,CAO Zheng-tao.Ensemble extreme learning machine approach for heartbeat classification by fusing 1d convolutional and handcrafted features[J].Chinese Journal of Engineering,2021,43(9):1224-1232.doi:10.13374/j.issn2095- 9389.2021.01.12.005 在线阅读View online::htps/ldoi.org10.13374/.issn2095-9389.2021.01.12.005 您可能感兴趣的其他文章 Articles you may be interested in 一维卷积神经网络特征提取下微震能级时序预测 Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network 工程科学学报.2021,43(7)：1003 https:doi.org10.13374.issn2095-9389.2020.11.22.001 基于极限学习机ELM的连俦坯质量预测 Quality prediction of the continuous casting bloom based on the extreme learning machine 工程科学学报.2018,40(7)：815htps:doi.org/10.13374j.issn2095-9389.2018.07.007 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::1doi.org/10.13374j.issn2095-9389.2019.10.10.005 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(11：1516htps:1doi.org10.13374.issn2095-9389.2020.06.30.008 基于支持向量回归与极限学习机的高炉铁水温度预测 Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine 工程科学学报.2021,43(4：569 https:doi.org10.13374.issn2095-9389.2020.05.28.001 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基于一维卷积特征与手工特征融合的集成超限学习机心跳分类方法 许越凡 肖文栋 曹征涛 Ensemble extreme learning machine approach for heartbeat classification by fusing 1d convolutional and handcrafted features XU Yue-fan, XIAO Wen-dong, CAO Zheng-tao 引用本文: 许越凡, 肖文栋, 曹征涛. 基于一维卷积特征与手工特征融合的集成超限学习机心跳分类方法[J]. 工程科学学报, 2021, 43(9): 1224-1232. doi: 10.13374/j.issn2095-9389.2021.01.12.005 XU Yue-fan, XIAO Wen-dong, CAO Zheng-tao. Ensemble extreme learning machine approach for heartbeat classification by fusing 1d convolutional and handcrafted features[J]. Chinese Journal of Engineering, 2021, 43(9): 1224-1232. doi: 10.13374/j.issn2095- 9389.2021.01.12.005 在线阅读 View online: https://doi.org/10.13374/j.issn2095-9389.2021.01.12.005 您可能感兴趣的其他文章 Articles you may be interested in 一维卷积神经网络特征提取下微震能级时序预测 Time series prediction of microseismic energy level based on feature extraction of one-dimensional convolutional neural network 工程科学学报. 2021, 43(7): 1003 https://doi.org/10.13374/j.issn2095-9389.2020.11.22.001 基于极限学习机(ELM)的连铸坯质量预测 Quality prediction of the continuous casting bloom based on the extreme learning machine 工程科学学报. 2018, 40(7): 815 https://doi.org/10.13374/j.issn2095-9389.2018.07.007 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 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 基于支持向量回归与极限学习机的高炉铁水温度预测 Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine 工程科学学报. 2021, 43(4): 569 https://doi.org/10.13374/j.issn2095-9389.2020.05.28.001 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