The aims of this study were to determine energy (input-output) and energy cost analysis and prediction of output energy for maize production in Shooshtar County of Iran, Data were collected from 40 maize farms by using a face to face questionnaire method in 2015. The results revealed that in maize production, total energy input was 39303.91 MJ/ha. The highest share of energy consumed was recorded for N fertilizer (38.83%) which is a nonrenewable resource. Output Energy was 58077.41 MJ/ha. Accordingly, energy efficiency was 1.47, energy productivity calculated as 0.10 KgMJ-1 and specific energy was observed as 9.94 MJKg-1. The results also revealed that benefit to cost ratio (1.80); indicating a better management of energy and input consumptions in these farms. The artificial neural network model with (5-17-2) structure was the best model for predicting the amount of energy output. In the best topology, the (R) was calculated as 0.999 and 0.989 for train and test, respectively.
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