Spatiotemporal variable and parameter selection using sparse hybrid genetic algorithm for traffic flow forecasting-Reference-Cited by-同舟云学术

Spatiotemporal variable and parameter selection using sparse hybrid genetic algorithm for traffic flow forecasting

Author:

Chen Xiaobo¹,Wei Zhongjie²,Liu Xiang²,Cai Yingfeng¹,Li Zuoyong³,Zhao Feng⁴

Affiliation:

1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China

2. School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China

3. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China

4. School of Computer Science and Technology, Shandong Technology and Business University, Yantai, China

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Link

Reference40 articles.

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Missing Data Filling of Model Based on Neural Network;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2024-06