Computational intelligence techniques in modeling water systems: some applications

Applications of artificial neural networks, fuzzy rule-based systems, M5 model trees, chaos theory to the problems of water management and control are described. Such data-driven models are becoming an alternative to behavioral models based on the equations describing the dynamics of water bodies. Various methods are compared and the conclusions are drawn on their applicability in different application areas.