Integrating Nanomaterial and High-Performance Fuzzy-Based Machine Learning Approach for Green Energy Conversion

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Feedstock</td><td class="align_center" rowspan="2">Fuzzy-based rank</td><td class="align_center" colspan="2">Bio-oil yield in wt%</td><td class="align_center" rowspan="2">Experimental rank</td></tr><tr class="thead"><td class="align_center">Thermal pyrolysis</td><td class="align_center">Catalytic pyrolysis</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Sugarcane bagasse</td><td class="align_center">1</td><td class="align_center">48.3</td><td class="align_center">50.4</td><td class="align_center">1</td></tr><tr><td class="align_left">Hardwood</td><td class="align_center">2</td><td class="align_center">44.6</td><td class="align_center">46.8</td><td class="align_center">2</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Yield of biofuel under selected operating condition.</div>

Journal of Nanomaterials

tab5

Table 5

Table 5: Integrating Nanomaterial and High-Performance Fuzzy-Based Machine Learning Approach for Green Energy Conversion 