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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：兰州理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A hybrid approach for short-term traffic flow forecasting based on similarity identification 期刊论文 MODERN PHYSICS LETTERS B, 2021, 卷号: 35, 期号: 13 作者:  Li, Wenjun;  Chen, Si;  Wang, Xiaoquan;  Yin, Chaoying;  Huang, Zhaoguo 收藏  |  浏览/下载：7/0  |  提交时间：2021/06/03 Traffic flow  short-term traffic forecasting  similarity identification  time constrain window  entropy-based gray relation analysis  rank-exponent method   Short-Term Traffic Flow Prediction Based on LSTM-XGBoost Combination Model 期刊论文 CMES - Computer Modeling in Engineering and Sciences, 2020, 卷号: 125, 期号: 1, 页码: 95-109 作者:  Zhang XJ(张玺君) 收藏  |  浏览/下载：13/0  |  提交时间：2020/11/13 Forecasting  Long short-term memory  Predictive analytics  Roads and streets  Time series   A multivariate short-term traffic flow forecasting method based on wavelet analysis and seasonal time series 期刊论文 APPLIED INTELLIGENCE, 2018, 卷号: 48, 期号: 10, 页码: 3827-3838 作者:  Zhang, Hong;  Wang, Xiaoming;  Cao, Jie;  Tang, Minan;  Guo, Yirong 收藏  |  浏览/下载：22/0  |  提交时间：2019/11/15 Hybrid method  Traffic flow  Short-term forecasting  Wavelet analysis  Multivariate   A hybrid short-term traffic flow forecasting model based on time series multifractal characteristics 期刊论文 APPLIED INTELLIGENCE, 2018, 卷号: 48, 期号: 8, 页码: 2429-2440 作者:  Zhang, Hong;  Wang, Xiaoming;  Cao, Jie;  Tang, Minan;  Guo, Yirong 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/15 Hybrid model  Traffic flow  Multifractal characteristics  Short-term forecasting  Periodic regression  Volatility analysis   Combination forecast for urban rail transit passenger flow based on fuzzy information granulation and CPSO-LS-SVM 期刊论文 Journal of Measurement Science and Instrumentation, 2018, 卷号: 9, 期号: 1, 页码: 32-41 作者:  Tang Minan;  Zhang Kai;  Liu Xing 收藏  |  浏览/下载：4/0  |  提交时间：2020/06/16 urban rail transit  passenger flow forecast  least squares support vector machine (LS-SVM)  fuzzy information granulation  chaos particle swarm optimization(CPSO)   Short Term Traffic Flow Forecasting Based on Improved Echo State Network 会议论文 作者:  Cao, Jie;  Yu, Da-Wei;  Hou, Liang 收藏  |  浏览/下载：9/0  |  提交时间：2019/11/15 Short Term Traffic Flow Forecast  Echo State Network  Reservoirs  Topological Structure