Residential Energy-Saving Lighting Based on Bioinspired Algorithms

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Number of lamps/lamp</td><td class="align_center">Illumination/lm</td><td class="align_center">Standard illumination/lm</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Neural network calculation method</td><td class="align_center">76</td><td class="align_center">912</td><td class="align_center">750</td></tr><tr><td class="align_left">Fuzzy neural network calculation method</td><td class="align_center">71</td><td class="align_center">795</td><td class="align_center">750</td></tr><tr><td class="align_left">BP network calculation method optimized by PSO-GA</td><td class="align_center">69</td><td class="align_center">765</td><td class="align_center">750</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of prediction results of different models.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Residential Energy-Saving Lighting Based on Bioinspired Algorithms 