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| Bagheri, Nikrooz -. |
| This research is carried out to predict energy efficiency of a solar dryer by adaptive neuro-fuzzy inference system (ANFIS) model. In this model, temperatures in the collector inlet, collector outlet and in the dry chamber exit and also absorbed heat energy by collector and necessary energy for evaporation of product moisture were considered as an ANFIS network inputs. To investigate the capability of ANFIS models in prediction of dryer efficiency, empirical model and regression analysis were used and their results were compared by ANFIS models. To evaluate an accuracy ANFIS models, statistical parameters such as mean absolute error, mean squared error, sum squared error, correlation coefficient (R) and probability (P) were calculated. Results indicated... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Agricultural machinery solar drying; Efficiency; ANFIS; Empirical modeling.. |
| Ano: 2015 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2972 |
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| Bagheri, Nikrooz -. |
| To evaluate the performance of a variable rate boom sprayer, an artificial neural network (ANN) was employed. To model output flow of nozzles, 727 nets by four neural net models, namely, linear, MLP, RBF and GRNN were tested. For each nozzle, 45, 22 and 23 experimental data were used for train, verification and test, respectively. The results indicated that RBF model was selected as the best by regression ratio of 0.198 and R2 of 0.98. To investigate the capability of RBF model in prediction of nozzles flow, statistical analysis was used. Based on the results, average value of R2 for statistical and RBF models were 0.98 and 0.99, respectively. So, the average value of CV for RBF and statistical models were 18.96% and 19.05%, respectively. From the results,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Precision agriculture; Mechanics of agricultural engineering ANN; Control system; Precision agriculture; Sprayer; VRA.. |
| Ano: 2014 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/2861 |
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