MAT之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

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']  

MAT之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
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