Algorithm Research & Explore
|
756-761

Prediction method of supply and demand for online car based on recurrent neural networks

An Leia,b
Zhao Shulianga,b
Wu Yonglianga,b
Chen Runzia,b
Li Jiaxinga,b
a. College of Mathematic & Information Science, b. Hebei Key Laboratory of Computational Mathematics & Applications, Hebei Normal University, Shijiazhuang 050024, China

Abstract

Ordered from online car as data sources, this paper used TensorFlow and recurrent neural networks to predict the supply and demand for online car at a certain point in the future. This paper presented the model of LSTM RNN, which was optimized and trained to effectively predict the supply and demand of the online car at a certain point in the future. Visual analysis of data source, help excluding uncorrelated data source, which was the basic to design simulation experiment. Simulation experiments show that the accuracy of the proposed model is higher than back propagation neural network(BPNN) and decision tree regression(DTR), nonlinear support vector regression machine(SVR) and random walk(RW), at the same time, it has the excellent memory capability of different length of historical data, and the excellent generalization capability on the test set.

Foundation Support

国家自然科学基金资助项目(71271067)
国家社科基金重大项目(13&ZD091)
河北省高等学校科学技术研究项目(QN2014196)
河北师范大学硕士基金资助项目(CXZZSS2017048)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0979
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 756-761
Serial Number: 1001-3695(2019)03-023-0756-06

Publish History

[2019-03-05] Printed Article

Cite This Article

安磊, 赵书良, 武永亮, 等. 基于recurrent neural networks的网约车供需预测方法 [J]. 计算机应用研究, 2019, 36 (3): 756-761. (An Lei, Zhao Shuliang, Wu Yongliang, et al. Prediction method of supply and demand for online car based on recurrent neural networks [J]. Application Research of Computers, 2019, 36 (3): 756-761. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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