Investigation of Iterative and Direct Strategies with Recurrent Neural Networks for Short-Term Traffic Flow Forecasting

Armando Fandango, Amita Kapoor. Investigation of Iterative and Direct Strategies with Recurrent Neural Networks for Short-Term Traffic Flow Forecasting. In Mayank Singh 0008, P. K. Gupta 0001, Vipin Tyagi, Jan Flusser, Tuncer I. Ören, editors, Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part II. Volume 906 of Communications in Computer and Information Science, pages 433-441, Springer, 2018. [doi]

@inproceedings{FandangoK18,
  title = {Investigation of Iterative and Direct Strategies with Recurrent Neural Networks for Short-Term Traffic Flow Forecasting},
  author = {Armando Fandango and Amita Kapoor},
  year = {2018},
  doi = {10.1007/978-981-13-1813-9_43},
  url = {https://doi.org/10.1007/978-981-13-1813-9_43},
  researchr = {https://researchr.org/publication/FandangoK18},
  cites = {0},
  citedby = {0},
  pages = {433-441},
  booktitle = {Advances in Computing and Data Science - Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part II},
  editor = {Mayank Singh 0008 and P. K. Gupta 0001 and Vipin Tyagi and Jan Flusser and Tuncer I. Ören},
  volume = {906},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-13-1813-9},
}