Application of Artificial Intelligence Recognition Technology in Digital Image Processing

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Concepts in biological evolution</td><td class="align_center">The role of genetic algorithms</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">The environment</td><td class="align_center">To adapt to the function</td></tr><tr><td class="align_left">Adaptive</td><td class="align_center">Adaptive value function</td></tr><tr><td class="align_left">The survival of the fittest</td><td class="align_center">The solution with the greatest value of the adaptive function has the greatest probability of being retained</td></tr><tr><td class="align_left">Individual</td><td class="align_center">One solution to the problem</td></tr><tr><td class="align_left">Chromosome</td><td class="align_center">Solution of the coding</td></tr><tr><td class="align_left">Gene</td><td class="align_center">Coded element</td></tr><tr><td class="align_left">Group</td><td class="align_center">A selected set of solutions</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Correspondence between biological evolution and genetic algorithm.</div>

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Table 2

Table 2: Application of Artificial Intelligence Recognition Technology in Digital Image Processing 