“…Assign a random number between (-1,1) to the weight and threshold ,the global error target value ε, the iterations Q and the learning efficiency η were set. A set of input layer vectors X (x1,x2,…,xn) and expected output vectors T (t1,t2,…,tm) were randomly extracted from the N sets of learning samples; weights W ij, Wjk and threshold values aj, bk were initialized and substituted into the activation function respectively so that the hidden layer H (h1,h2,…,hl) and the output layer vector Y (y1,y2,…,ym) were calculated with the expressions as shown in (3) and 4, where l was the number of nodes in the hidden layer and f was the activation function.…”