Abstract: Estimation of evaporation，a major component of the hydrologic cycle，is essential for any efficient management of water resources and irrigation water demand.In this paper，an attempt has been made to study the simulation of weekly evaporation by using multiple linear regression model，multilayer perceptron（MLP）and an artificial neural network（ANN）model for Malwa regions of Madhya Pradesh in India.The four combination of different weather variables were used to train the neural network model.The multiple linear regression model includes only the maximum temperature and relative humidity as input but the simulation result was not satisfactory.The MLP model performed quite well for the data set comprising minimum and maximum temperature，wind speed and relative humidity during training as well as validation periods.The MLP model could be employed to simulate weekly open pan evaporation，estimate missing data and as an alternative model to check the observed evaporation data.Inclusion of rainfall data with meteorological variables has not improved the performance of the model.