Radial basis function neural network approach to estimate public transport trips in Istanbul


Çelikoğlu H. B.

4th IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST 05), Muroran, Japan, 01 January 2005, pp.31-40 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1007/3-540-32391-0_11
  • City: Muroran
  • Country: Japan
  • Page Numbers: pp.31-40

Abstract

The presented study comprised the employement of a neural network (NN) algorithm, radial basis function (RBF), for the purpose of daily trip flow forecasting in Istanbul Metropolitan Area. The RBF NN predictions were quite close to the observations as reflected in the selected performance criteria.