Reliable prediction of evaporative losses from reservoirs is an essential component of
reservoir management and operation. Conventional models generally used for evaporation
prediction have a number of drawbacks as they are based on several assumptions. A novel
approach called the co-active neuro-fuzzy inference system (CANFIS) is proposed in this
study for the modeling of evaporation from meteorological variables. CANFIS provides a
center-weighted set rather than global weight sets for predictor–predictand relationship …