Corpus ID: 29959327

Application of Parallel Particle Swarm Optimize Support Vector Machine Model Based on Hadoop Framework in the Analysis of Railway Passenger Flow Data in China

@inproceedings{Xun2016ApplicationOP,
  title={Application of Parallel Particle Swarm Optimize Support Vector Machine Model Based on Hadoop Framework in the Analysis of Railway Passenger Flow Data in China},
  author={W. Xun and Yingbo Anb and Rong Jieb},
  year={2016}
}
  • W. Xun, Yingbo Anb, Rong Jieb
  • Published 2016
  • In recent years, the development of high-speed railway industry in China is very rapid. However, the development of Chinese high speed railway cannot be further improved without basic research. The passenger flow is the basis and foundation to build high-speed railway. Therefore, to establish a set of analysis method for big data forecasting of railway passenger flow has great theoretical value and practical significance. In this paper, a parallel particle swarm optimization algorithm which is… CONTINUE READING
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