A Shaheen Hybrid GA Statistical Method for the Forecasting Problem: The Prediction of the River Nile Inflows

Ashraf H. Abdel-Wahab, Mohammed E. El-Telbany, Samir I. Shaheen. A Shaheen Hybrid GA Statistical Method for the Forecasting Problem: The Prediction of the River Nile Inflows. In José Mira, Angel P. Del Pobil, editors, Methodology and Tools in Knowledge-Based Systems, 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, Castellón, Spain, June 1-4, 1998, Proceedings, Volume I. Volume 1415 of Lecture Notes in Computer Science, pages 876-882, Springer, 1998.

@inproceedings{Abdel-WahabES98,
  title = {A Shaheen Hybrid GA Statistical Method for the Forecasting Problem: The Prediction of the River Nile Inflows},
  author = {Ashraf H. Abdel-Wahab and Mohammed E. El-Telbany and Samir I. Shaheen},
  year = {1998},
  tags = {e-science},
  researchr = {https://researchr.org/publication/Abdel-WahabES98},
  cites = {0},
  citedby = {0},
  pages = {876-882},
  booktitle = {Methodology and Tools in Knowledge-Based Systems, 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, Castellón, Spain, June 1-4, 1998, Proceedings, Volume I},
  editor = {José Mira and Angel P. Del Pobil},
  volume = {1415},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-64582-9},
}