Analysis of Diversified Radio and Television Data Based on Adaptive Least Squares Support Vector Machine

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Unit</td><td class="align_center" colspan="5">Advertising revenue (10,000 yuan)</td></tr><tr class="thead"><td class="align_center">In 2012</td><td class="align_center">In 2013</td><td class="align_center">In 2014</td><td class="align_center">In 2015</td><td class="align_center">In 2016</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Major video sites</td><td class="align_center">247,837.99</td><td class="align_center">267,320.60</td><td class="align_center">807,194.25</td><td class="align_center">971,133.97</td><td class="align_center">1,550,257.00</td></tr><tr><td class="align_left">Major radio and television media</td><td class="align_center">30,906.93</td><td class="align_center">29,248.08</td><td class="align_center">43,144.09</td><td class="align_center">82,612.19</td><td class="align_center">125,037.68</td></tr><tr><td class="align_left">Total</td><td class="align_center">278,744.92</td><td class="align_center">296,568.68</td><td class="align_center">850,338.34</td><td class="align_center">1,053,746.16</td><td class="align_center">1,675,294.68</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Classification of advertising revenue.</div>

Computational Intelligence and Neuroscience

tab6

Table 6

Table 6: Analysis of Diversified Radio and Television Data Based on Adaptive Least Squares Support Vector Machine 