An Adaptive Genetic Algorithm Optimizes Double-Hidden Layer BPNN for Rapid Detection of Moisture Content of Green Tea in Processing

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Subsets</td><td class="align_center">Range (%)</td><td class="align_center">Average (%)</td><td class="align_center">Standard deviation (%)</td><td class="align_center">Number of samples</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Calibration set</td><td class="align_center">5.17 ∼ 78.74</td><td class="align_center">51.87</td><td class="align_center">9.61</td><td class="align_center">370</td></tr><tr><td class="align_left">Prediction set</td><td class="align_center">5.87 ∼ 78.43</td><td class="align_center">50.04</td><td class="align_center">9.07</td><td class="align_center">92</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Information of water content of green tea samples.</div>

Journal of Food Processing and Preservation

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Table 4

Table 4: An Adaptive Genetic Algorithm Optimizes Double-Hidden Layer BPNN for Rapid Detection of Moisture Content of Green Tea in Processing 