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Ampirik yöntemlerle Gediz Nehri için askıda katı madde yükü tahmini
(TMMOB İnşaat Mühendisleri Odası, 2011-04)
It is essential to predict suspended sediment load for understanding river morphology, design of dams, water supply problems, management of reservoirs and determination of pollution levels in rivers. The suspended sediment ...
Performance indices of soft computing models to predict the heat load of buildings in terms of architectural indicators
(Yıldız Technical University, 2017-08)
This study estimates the heat load of buildings in Izmir/Turkey by three soft computing (SC) methods; Artificial Neural Networks (ANNs), Fuzzy Logic (FL) and Adaptive Neuro-based Fuzzy Inference System (ANFIS) and compares ...