Clockwork Convolutional Recurrent Neural Network for Traffic Prediction

Yu Yan; Yang Yang; Zhipeng Gao; Bowen Gao; Rui Lv

doi:10.1007/978-981-19-4775-9_139

ScienceGate Book Chapters

BOOK-CHAPTER

Clockwork Convolutional Recurrent Neural Network for Traffic Prediction

Yu Yan Yang Yang Zhipeng Gao Bowen Gao Rui Lv

Year: 2022 Lecture notes in electrical engineering Pages: 1079-1086 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-19-4775-9_139

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Recurrent neural network Convolutional neural network Clockwork Artificial intelligence Data mining Time series Machine learning Artificial neural network

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.48

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Network Traffic and Congestion Control

Physical Sciences → Computer Science → Computer Networks and Communications

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Clockwork Convolutional Recurrent Neural Network for Traffic Prediction

Metrics

Topics

Related Documents

Attention-Based Convolutional Recurrent Neural Network for Traffic Index Prediction

Network Traffic Prediction based on Diffusion Convolutional Recurrent Neural Networks

TARGCN: temporal attention recurrent graph convolutional neural network for traffic prediction

Routing hypergraph convolutional recurrent network for network traffic prediction

Two-layer dynamic graph convolutional recurrent neural network for traffic flow prediction