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In Thailand, nowadays, the planted area, climate and rainfall are changed rapidly effect to unstable of Thai rice production. The decision-making processes often require reliable rice response models. Local governor and farmer need simple and accurate estimation techniques to predict rice yield in the planning process. This study aims to develop the decision support system using Artificial Neural Networks (ANN) by adjust the value of parameters and study about 9 Algorithms training. Indoi:10.7763/ijcee.2014.v6.814 fatcat:2byhlak37vasbkf7btcikapgs4