A hybrid artificial intelligence model for river flow forecasting
Review of classical and advanced hydrological models for river flow forecasting. Application of Elman and Modular ANNs for time series prediction. Use of hierarchical clustering and Fourier frequency analysis for identifying similar past situations. Case-based reasoning as methodology for constructing hybrid forecasting systems. Results indicate that the hybrid system outperforms previous approaches.
river flow forecasting hydrologic models case-based reasoning hybrid forecasting system black-box approaches