Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation

YASEEN, Zaher Mundher | RAMAL, Majeed Mattar | DIOP, Lamine | JAAFAR, Othman | DEMİR, Vahdettin | KİŞİ, Özgür

Soft computing models are known as an efficient tool for modelling temporal and spatial variation of surface water quality variables and particularly in rivers. These model’s performance relies on how effective their simulation processes are accomplished. Fuzzy logic approach is one of the authoritative intelligent model in solving complex problems that deal with uncertainty and vagueness data. River water quality nature is involved with high stochasticity and redundancy due to the its correlation with several hydrological and environmental aspects. Yet, the fuzzy logic theory can give robust ...Daha fazlası