Abstract: Artificial neural network (ANN) models are proposed as an alternative approach of evaporation estimation for Lake Eğirdir. This study has three objectives: (1) to develop ANN models to estimate daily pan evaporation from ...

Abstract: The aim of this study was to develop an optimum flow prediction method, based on the adaptive neural-based fuzzy inference system (ANFIS) and artificial neural network (ANN). Each methodology was applied to river flow ...

Abstract: Time-series analysis in hydrology plays an important role in the efficient use of water resources, prediction of flood risks, and crop production. However, considering many parameters in the solution of hydrological problems ...

Abstract: Water resources engineering assessment requires simple but effective evaporation estimation procedures, especially from readily measurable meteorological factors. Unfortunately, such approaches are rather scarce in the ...

Abstract: The purpose of this study is to develop an integrating evaporation estimation model using a data mining process for the Lakes District in the southern part of Turkey. Lakes Eğirdir, Kovada, and Karacaören Dam are located ...