Neural Network Model of Urban Landscape Design Based on Multi-Target Detection

<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">Predicting category</td><td class="align_center">Indicator content</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">TN</td><td class="align_center">Correctly predicted negative samples</td></tr><tr><td class="align_left">FN</td><td class="align_center">Indicates the number of negative predictions</td></tr><tr><td class="align_left">FP</td><td class="align_center">The number of positive samples that are wrongly forecast</td></tr><tr><td class="align_left">TP</td><td class="align_center">Correctly predicted number of active samples</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Neural Network Model of Urban Landscape Design Based on Multi-Target Detection 