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首页> 外文期刊>Energy Equipment and Systems >Application of ANFIS and linear regression models to analyze the energy and economics of lentil and chickpea production in Iran
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Application of ANFIS and linear regression models to analyze the energy and economics of lentil and chickpea production in Iran

机译：应用ANFIS和线性回归模型分析伊朗小扁豆和鹰嘴豆生产的能源和经济

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In the present study, the energetic and economic modeling of lentil and chickpea production in Esfahan province of Iran was conducted using adaptive neuro-fuzzy inference system (ANFIS) and linear regression. Data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. The results showed that the yield and total energy consumption were calculated 2,023 kgha-1 and 32,970.10 MJha-1, respectively for lentil; and 2,276 kg ha-1 and 33,211.18 MJ ha-1, respectively for chickpea. Energy use efficiency was found to be 0.9 for lentil and 1.02 for chickpea; while benefit-cost ratio (BCR) were obtained 1.60 for lentil and 1.74 for chickpea. Regression results demonstrated that the coefficient of determination (R2) were 0.92 for lentil and 0.89 for chickpea. In adittion, in regression estimated model in terms of BCR, R2 were obtained as 0.86 for lentil and 0.72 for chickpea. In modeling of yield using the best ANFIS model, R2 were calculated 0.99 and 0.98, respectively for lentil and chickpea. Finally, for evaluation of crops BCR by best ANFIS model, R2 were determinate as 0.94 and 0.91 for lentil and chickpea, respectively. It was concluded that ANFIS model could better predict the energy output and BCR than that of linear regression model.
机译：在本研究中，使用自适应神经模糊推理系统（ANFIS）和线性回归对伊朗伊斯法罕省小扁豆和鹰嘴豆生产进行了经济和经济建模。在2014-2015年生产期间，通过采访和访问140个小扁豆农场和110个鹰嘴豆农场来获取数据。结果表明，小扁豆的产量和总能量消耗分别为2,023 kgha-1和32,970.10 MJha-1。鹰嘴豆分别为2,276 kg ha-1和33,211.18 MJ ha-1。扁豆的能量利用效率为0.9，鹰嘴豆的能量利用效率为1.02;扁豆的效益成本比（BCR）为1.60，鹰嘴豆为1.74。回归结果表明，小扁豆的测定系数（R2）为0.92，鹰嘴豆的测定系数（R2）为0.89。另外，在以BCR表示的回归估计模型中，小扁豆的R2为0.86，鹰嘴豆的R2为0.72。在使用最佳ANFIS模型进行产量建模时，小扁豆和鹰嘴豆的R2分别计算为0.99和0.98。最后，为了通过最佳ANFIS模型评估农作物的BCR，扁豆和鹰嘴豆的R2分别确定为0.94和0.91。结论是，与线性回归模型相比，ANFIS模型可以更好地预测能量输出和BCR。

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