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.