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Energy Sources Part A-recovery Utilization and Environmental Effects, Vol.41, No.11, 1285-1295, 2019
Prediction of jatropha-algae biodiesel blend oil yield with the application of artificial neural networks technique
In this work, the experiments of the transesterification process were carried out on jatropha-algae oil blend and the prediction of the synthesized biodiesel was investigated. The study was divided into two parts. In the first part, a series of experiments were employed practically and in the second part, the prediction is made with the artificial neural network (ANN). The ANN with Levenberg-Marquardt (LM) algorithm was trained with topology 4-10-1. The estimated results were compared with the experimental results. An ANN model was developed based on a back-propagation learning algorithm. An R-square value of the model from ANN was 0.9976. The results confirmed that the use of an ANN technique is quite suitable. The artificial neural network gave acceptable results.