An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Consuming time/per trial</td><td align="center">FMCN/s</td><td align="center">AFMN/s</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Thyroid</td><td align="center">25.312</td><td align="center">4.145</td></tr><tr><td align="left">Wine</td><td align="center">18.145</td><td align="center">7.461</td></tr><tr><td align="left">Ionosphere</td><td align="center">265.28</td><td align="center">43.19</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>


								Classification consumingtime of FMCN and AFMN.

Mathematical Problems in Engineering

tab5

Table 5

Table 5: An Adaptive Fuzzy Min-Max Neural Network Classifier Based on Principle Component Analysis and Adaptive Genetic Algorithm 