% 結合遺傳算法的神經網絡訓練function [ net ] = gabptrain( gaP,bpP,P,T )%%%% 輸入參數賦值開始 %%%%%%%%%%%%%%%%%%%%%%%% 方便調試程序用，程序調試時去掉這部分的注釋gaP = [100 0.00001];               % gaP 為遺傳算法的參數信息.[遺傳代數 最小適應值]。bpP = [500 0.00001];               % bpP 為神經網絡參數信息。[最大迭代次數　最小誤差]generatesample('data\sample.mat'); % 產生樣本數組P和目標數組T%%%% 輸入參數賦值結束 %%%%%%%%%%%%%%%%%%%%%%%%[W1, B1, W2, B2] = getWBbyga(gaP);net = initnet(W1, B1, W2, B2,bpP);net = train(net,P,T);