NSL:CPK_NN神经网络实现预测哪个样本与哪个样本处在同一层,从而科学规避我国煤矿突水灾难—Jason niu
load water_data.mat attributes = mapminmax(attributes); P_train = attributes(:,1:35); T_train = classes(:,1:35); P_test = attributes(:,36:end); T_test = classes(:,36:end); net = newc(minmax(P_train),4,0.01,0.01);
w=net.iw{1,1}; b=net.b{1} net.trainParam.epochs = 500; net = train(net,P_train); t_sim_compet_1 = sim(net,P_train); T_sim_compet_1 = vec2ind(t_sim_compet_1);
t_sim_compet_2 = sim(net,P_test); T_sim_compet_2 = vec2ind(t_sim_compet_2); result_compet_1 = [T_train' T_sim_compet_1'] result_compet_2 = [T_test' T_sim_compet_2']
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