BRAIN Journal-High Performance Data mining by Genetic Neural Network-Figure 6. Training Accuracy with prograess generation

<p>There are many features will reduce the efficiency of the algorithm and its complexity.<br> Among the methods for selecting the appropriate features, the algorithm is a GA.<br> One of the important parameters for testing methods is accuracy rate on progress generation.<br> In fact accuracy is reverse error in algorithm results. As reader can compare the results of our paper<br> with another works. Figure 4 show that accuracy present for Training step. We achieve to best<br> answers of 800 generation to after generation.</p>