Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Modelling parameter settings</td><td class="align_center">Detail value</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Percentage of training dataset</td><td class="align_center">80%</td></tr><tr><td class="align_left">Percentage of test dataset</td><td class="align_center">10%</td></tr><tr><td class="align_left">Percentage of validation dataset</td><td class="align_center">10%</td></tr><tr><td class="align_left">Number of networks to train</td><td class="align_center">300</td></tr><tr><td class="align_left">Number of networks to retain</td><td class="align_center">10</td></tr><tr><td class="align_left">Number of hidden layers</td><td class="align_center">10</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Settings of ANN for output ethyl ester.</div>

Mathematical Problems in Engineering

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Table 1

Table 1: Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search 

Table 1 | Predictive Modelling and Surface Analysis for Optimization of Production of Biofuel as A Renewable Energy Resource: Proposition of Artificial Neural Network Search 