相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Supply chain coordination under information asymmetry: a review
Mohammadali Vosooghidizaji et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)
Short-term traffic flow prediction based on faded memory Kalman Filter fusing data from connected vehicles and Bluetooth sensors
Azadeh Emami et al.
SIMULATION MODELLING PRACTICE AND THEORY (2020)
Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction
Yanni Peng et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2020)
Short-term traffic state prediction from latent structures: Accuracy vs. efficiency
Wan Li et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
An interpretable model for short term traffic flow prediction
Wei Wang et al.
MATHEMATICS AND COMPUTERS IN SIMULATION (2020)
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
Hao Peng et al.
INFORMATION SCIENCES (2020)
Traffic flow prediction based on combination of support vector machine and data denoising schemes
Jinjun Tang et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Deep learning based short-term air traffic flow prediction considering temporal-spatial correlation
Yi Lin et al.
AEROSPACE SCIENCE AND TECHNOLOGY (2019)
Short-term traffic flow prediction in smart multimedia system for Internet of Vehicles based on deep belief network
Fanhui Kong et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Technique for Myasthenia Gravis: Subxiphoid Approach
Beatrice Aramini et al.
THORACIC SURGERY CLINICS (2019)
A Novel 3D In Vitro Platform for Pre-Clinical Investigations in Drug Testing, Gene Therapy, and Immuno-oncology
Olivia Candini et al.
SCIENTIFIC REPORTS (2019)
An adaptive hybrid model for short-term urban traffic flow prediction
Qinzhong Hou et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
An effective spatial-temporal attention based neural network for traffic flow prediction
Loan N. N. Do et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Exploring spatial-temporal relations via deep convolutional neural networks for traffic flow prediction with incomplete data
Shaojiang Deng et al.
APPLIED SOFT COMPUTING (2019)
Reliability of Dynamap traffic noise prediction
Roberto Benocci et al.
APPLIED ACOUSTICS (2019)
Parallel computing method of deep belief networks and its application to traffic flow prediction
Lu Zhao et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Traffic flow prediction using LSTM with feature enhancement
Bailin Yang et al.
NEUROCOMPUTING (2019)
Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges
Arzoo Miglani et al.
VEHICULAR COMMUNICATIONS (2019)
Traffic prediction using a self-adjusted evolutionary neural network
Shiva Rahimipour et al.
JOURNAL OF MODERN TRANSPORTATION (2019)
A novel fuzzy deep-learning approach to traffic flow prediction with uncertain spatial-temporal data features
Weihong Chen et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
A hybrid deep learning based traffic flow prediction method and its understanding
Yuankai Wu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
LSTM-based traffic flow prediction with missing data
Yan Tian et al.
NEUROCOMPUTING (2018)
Construction of traffic state vector using mutual information for short-term traffic flow prediction
Unsok Ryu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
ANN based short-term traffic flow forecasting in undivided two lane highway
Bharti Sharma et al.
JOURNAL OF BIG DATA (2018)
Optimization using lion algorithm: a biological inspiration from lion's social behavior
Rajakumar Boothalingam
EVOLUTIONARY INTELLIGENCE (2018)
Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method
Anyu Cheng et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017)
Wavelet neural network with improved genetic algorithm for traffic flow time series prediction
Hong-jun Yang et al.
OPTIK (2016)
A new probability statistical model for traffic noise prediction on free flow roads and control flow roads
Feng Li et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2016)
Short-term traffic flow prediction model using particle swarm optimization-based combined kernel function-least squares support vector machine combined with chaos theory
Qiang Shang et al.
ADVANCES IN MECHANICAL ENGINEERING (2016)
Robust causal dependence mining in big data network and its application to traffic flow predictions
Li Li et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
Jianhua Guo et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Static and adaptive mutation techniques for genetic algorithm: a systematic comparative analysis
B. R. Rajakumar
INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING (2013)