no unique method has been so far specified for determining the number of neurons in hidden layers of multi-layer perceptron (mlp) neural networks used for prediction. the present research is intended to optimize the number of neurons using two meta-heuristic procedures namely genetic and hill climbing algorithms. the data used in the present research for prediction are consumption data of water...

Short-term water demand modeling plays a key role in urban water resources planning and management. The importance of demand prediction is even greater in countries like Iran with frequent periods of drought. Short-term water demand estimation is useful for planning and management of water and wastewater facilities such as pump scheduling, control of reservoirs and tanks volume, pressure manage...

considering importance and the role of forecasting water consumption in water resources management and implementing appropriate short- and long-run policies in order to optimize water demand, therefore, this study aims to provide a model for predicting the water consumption via box and jenkins method. to this end, monthly data for the domestic and agricultural water consumptions of tehran provi...

It has always been an important research objective to improve prediction accuracy with limited data. The Grey Model is a typical example in forecasting industrial water c onsumption with a small amount of data. As to the basic grey forecasting models, the prediction accuracy can still be improved. So this paper proposed an improved new information and equal dimensional grey model. The industria...

An automatic water management system for large-scale paddy fields has been developed. The purposes of that are to supply the paddy fields with water or drain water from that automatically, to decrease water consumption, and to have a good harvest. To accomplish the above purpose, developed system has five functions, (1) prediction of paddy growth stages, (2) water level control corresponding to...