Imrie, C.E., Durucan, S. and Korea A. (2000) River Flow Prediction by Using Artificial Neural Networks: Generalisation beyond Calibration Range. Journal of Hydrology, 233,138-153.
http://dx.doi.org/10.1016/S0022-1694(00)00228-6

has been cited by the following article:

• TITLE: Flood Risk Pattern Recognition Using Chemometric Technique: A Case Study in Muda River Basin

  AUTHORS: Ahmad Shakir Mohd Saudi, Hafizan Juahir, Azman Azid, Mohd Khairul Amri Kamarudin, Mohd Ekhwan Toriman, Nor Azlina Abdul Aziz

  KEYWORDS: Component, Chemometric Method, Time Series Analysis, Climate Change, Flood

  JOURNAL NAME: Computational Water, Energy, and Environmental Engineering, Vol.3 No.3, July 4, 2014

  ABSTRACT: This study constructs downscaling statistical model in analyzing the hydrological modeling in the study area which faces the risk of flood occurrence as the impact of climate change. The combination of chemometric method and time series analysis in this study show that even during the monsoon season, rainfall and stream flow are not the major contribution towards the changing of water level in the study area. Based on Correlation Test, it shows that suspended solid and water level show high correlation with p-value