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This document compares three artificial intelligence techniques (artificial neural network, adaptive neuro-fuzzy inference system, and genetic programming) for river discharge routing using daily river discharge data from the Kizilirmak River in Turkey from 1999 to 2003. It evaluates the performance of the different models both visually and using statistical metrics. The results show that artificial neural network and adaptive neuro-fuzzy inference system have mixed success at discharge routing, while genet

Author

Antonio Soto

Language

EN