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·848· 智能系统学报 第17卷 cial intelligence,2018,32(1). [35]ZHANG G P.Time series forecasting using a hybrid [25]ZHANG HANG.WU CHONGRUO.ZHANG ZHONG ARIMA and neural network model[J].Neurocomputing. YUE,et al.ResNeSt:split-attention networks[EB/OL]. 2003,50:159-175. (2020-04-30)[2022-02-20].https://www.researchgate. [36]ZHANG G P,QI Min.Neural network forecasting for net/publication/340805846 resnest split-attention net- seasonal and trend time series[J].European journal of works. operational research,2005,160(2):501-514. [26]XIE Saining,GIRSHICK R,DOLLAR P,et al.Aggreg- [37]ZAREMBA W,SUTSKEVER I,VINYALS O.Recur- ated residual transformations for deep neural networks rent neural network regularization[EB/OL].(2014- [C]//2017 IEEE Conference on Computer Vision and 09-08)[2022-02-20].https:/arxiv,org/abs/1409.2329 Pattern Recognition.Honolulu:IEEE,2017:5987-5995. [38]HOCHREITER S,SCHMIDHUBER J.Long short-term [27]YAMAMOTO M,SATO A,KAWADA S,et al.Incre- memory[J].Neural computation,1997,9(8):1735-1780. mental tracking of human actions from multiple [39]CHO K.VAN MERRIENBOER B.GULCEHRE C.et views[C]//Proceedings of 1998 IEEE Computer Society al.Learning phrase representations using RNN encoder- Conference on Computer Vision and Pattern Recogni- decoder for statistical machine translation[EB/OL]. tion.Santa Barbara:IEEE,1998:2-7. (2014-06-03)[2022-02-201.https:/∥arxiv.org/abs/ [28]LECUN Y A,BOTTOU L,ORR G B,et al.Efficient 1406.1078 BackProp[MV/Lecture Notes in Computer Science.Ber- [40]DOUGHERTY M S,COBBETT M R.Short-term inter- lin:Springer Berlin Heidelberg,2012:9-48 urban traffic forecasts using neural networks[J].Interna- [29]LI Xiang,WANG Wenhai,HU Xiaolin,et al.Selective tional journal of forecasting,1997,13(1):21-31. kernel networks[C]//2019 IEEE/CVF Conference on 作者简介: Computer Vision and Pattern Recognition.Long Beach: 李伯涵,硕士研究生,主要研究方 IEEE.2019:510-519 向为深度学习、智慧城市、时间序列 [30]LI Yexin,ZHENG Yu,ZHANG Huichu,et al.Traffic 数据。 prediction in a bike-sharing system[C]//SIGSPATIAL '15:Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems.New York:ACM,2015:1-10. [31]WANG Xiaolong,GIRSHICK R,GUPTA A,et al.Non- 郭茂祖,教授,博士,博士生导师 北京建筑大学电气与信息工程学院院 local neural networks[C]//2018 IEEE/CVF Conference 长,“建筑大数据智能处理方法研究 on Computer Vision and Pattern Recognition.Salt Lake 北京市重点实验室主任,中国人工智 City:IEEE.2018:7794-7803. 能学会机器学习专委会常委、中国建 [32]ZHANG Junbo,.ZHENG Yu,.QI Dekang.北京出租车 筑学会计算机性设计学术委员会常 数据集[EB/OL].[2022-02-20].https:/∥gitee.com/ar- 委、中国计算机学会生物信息学专委 islee/taxi-bi. 会副主任,主要研究方向为机器学习、智慧城市、计算生物学 [33]LI Bohan.ST-SANet算法代码[EB/OL].[2022-02-20] 等。2019年以第一完成人获吴文俊人工智能自然科学二等 奖。发表学术论文300余篇。 https://gitee.com/arislee/st-sanet -code.git [34]ZHANG Junbo,ZHENG Yu,QI Dekang,et al.DNN- 赵玲玲,副教授,中国计算机学会 based prediction model for spatio-temporal data[C]// 生物信息学专委会委员,中国建筑学 会计算性设计专委会委员,主要研究 SIGSPACIAL'16:Proceedings of the 24th ACM SIG- 方向为机器学习、城市计算、生物信息 SPATIAL International Conference on Advances in 学。主持和参与国家自然科学基金青 Geographic Information Systems.New York:ACM, 年基金、面上项目、重点项目8项。发 2016:1-4 表学术论文40余篇。cial intelligence, 2018, 32(1). ZHANG HANG, WU CHONGRUO, ZHANG ZHONG YUE, et al. ResNeSt: split-attention networks[EB/OL]. (2020−04−30)[2022−02−20]. https://www.researchgate. net/publication/340805846_resnest_split-attention_net￾works. [25] XIE Saining, GIRSHICK R, DOLLÁR P, et al. Aggreg￾ated residual transformations for deep neural networks [C]//2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu: IEEE, 2017: 5987−5995. [26] YAMAMOTO M, SATO A, KAWADA S, et al. Incre￾mental tracking of human actions from multiple views[C]//Proceedings of 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recogni￾tion. Santa Barbara: IEEE, 1998: 2−7. [27] LECUN Y A, BOTTOU L, ORR G B, et al. Efficient BackProp[M]//Lecture Notes in Computer Science. Ber￾lin: Springer Berlin Heidelberg, 2012: 9−48. [28] LI Xiang, WANG Wenhai, HU Xiaolin, et al. Selective kernel networks[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach: IEEE, 2019: 510−519. [29] LI Yexin, ZHENG Yu, ZHANG Huichu, et al. Traffic prediction in a bike-sharing system[C]//SIGSPATIAL '15: Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York: ACM, 2015: 1−10. [30] WANG Xiaolong, GIRSHICK R, GUPTA A, et al. Non￾local neural networks[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City: IEEE, 2018: 7794−7803. [31] ZHANG Junbo, ZHENG Yu, QI Dekang. 北京出租车 数据集 [EB/OL].[2022−02−20]. https://gitee.com/ar￾islee/taxi-bj. [32] LI Bohan. ST-SANet 算法代码 [EB/OL].[2022−02−20]. https://gitee.com/arislee/st-sanet_-code.git [33] ZHANG Junbo, ZHENG Yu, QI Dekang, et al. DNN￾based prediction model for spatio-temporal data[C]// SIGSPACIAL’16: Proceedings of the 24th ACM SIG￾SPATIAL International Conference on Advances in Geographic Information Systems. New York: ACM, 2016: 1−4. [34] ZHANG G P. Time series forecasting using a hybrid ARIMA and neural network model[J]. Neurocomputing, 2003, 50: 159–175. [35] ZHANG G P, QI Min. Neural network forecasting for seasonal and trend time series[J]. European journal of operational research, 2005, 160(2): 501–514. [36] ZAREMBA W, SUTSKEVER I, VINYALS O. Recur￾rent neural network regularization[EB/OL]. (2014− 09−08)[2022−02−20]. https: //arxiv. org/abs/1409.2329. [37] HOCHREITER S, SCHMIDHUBER J. Long short-term memory[J]. Neural computation, 1997, 9(8): 1735–1780. [38] CHO K, VAN MERRIENBOER B, GULCEHRE C, et al. Learning phrase representations using RNN encoder￾decoder for statistical machine translation[EB/OL]. (2014−06−03)[2022−02−20]. https: //arxiv. org/abs/ 1406.1078. [39] DOUGHERTY M S, COBBETT M R. Short-term inter￾urban traffic forecasts using neural networks[J]. Interna￾tional journal of forecasting, 1997, 13(1): 21–31. [40] 作者简介: 李伯涵,硕士研究生,主要研究方 向为深度学习、智慧城市、时间序列 数据。 郭茂祖,教授,博士,博士生导师, 北京建筑大学电气与信息工程学院院 长,“建筑大数据智能处理方法研究” 北京市重点实验室主任,中国人工智 能学会机器学习专委会常委、中国建 筑学会计算机性设计学术委员会常 委、中国计算机学会生物信息学专委 会副主任,主要研究方向为机器学习、智慧城市、计算生物学 等。2019 年以第一完成人获吴文俊人工智能自然科学二等 奖。发表学术论文 300 余篇。 赵玲玲,副教授,中国计算机学会 生物信息学专委会委员,中国建筑学 会计算性设计专委会委员,主要研究 方向为机器学习、城市计算、生物信息 学。主持和参与国家自然科学基金青 年基金、面上项目、重点项目 8 项。发 表学术论文 40 余篇。 ·848· 智 能 系 统 学 报 第 17 卷
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