Research on a Grey Prediction Model of Population Growth Based on a Logistic Approach

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">Year</td><td class="align_center">2013</td><td class="align_center">2014</td><td class="align_center">2015</td><td class="align_center">2016</td><td class="align_center">2017</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">Beijing</td><td class="align_center">1825</td><td class="align_center">1858</td><td class="align_center">1877</td><td class="align_center">1880</td><td class="align_center">1878</td></tr><tr><td class="align_left">Shanghai</td><td class="align_center">2164</td><td class="align_center">2173</td><td class="align_center">2116</td><td class="align_center">2127</td><td class="align_center">2121</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Population of Beijing and Shanghai from 2013 to 2017 (unit: ten thousand).</div>

Discrete Dynamics in Nature and Society

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Table 4

Table 4: Research on a Grey Prediction Model of Population Growth Based on a Logistic Approach 