Prediction of Chaotic Time Series Based on BEN-AGA Model

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Population size</td><td class="align_center">Iterations number</td><td class="align_center">Chromosome length</td><td class="align_center">Crossover probability</td><td class="align_center">Mutation probability</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">100</td><td class="align_center">100</td><td class="align_center">15</td><td class="align_center"><span style="width: 115.379ptpx;"><svg height="11.9316pt" id="M151" style="vertical-align:-3.2957pt" version="1.1" viewbox="-0.0498162 -8.6359 115.379 11.9316" width="115.379pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M600 480C600 590 528 650 384 650H143L137 622C222 614 225 607 210 531L130 127C113 41 106 36 23 28L17 0H294L300 28C204 36 195 42 212 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<div>Adaptive genetic algorithm parameter setting table.</div>

Complexity

tab2

Table 2

Table 2: Prediction of Chaotic Time Series Based on BEN-AGA Model 