RBF：RBF基于近红外光谱的汽油辛烷值含量预测结果对比

输出结果

代码设计

load spectra_data.mat

temp = randperm(size(NIR,1));

P_train = NIR(temp(1:50),:)';  

T_train = octane(temp(1:50),:)';

P_test = NIR(temp(51:end),:)';

T_test = octane(temp(51:end),:)';

N = size(P_test,2);

net = newrbe(P_train,T_train,0.3);

w1=net.iW{1,1}

isequal(w1',P_train)

b1=net.b{1}        

T_sim = sim(net,P_test);

error = abs(T_sim - T_test)./T_test;

R2 = (N * sum(T_sim .* T_test) - sum(T_sim) * sum(T_test))^2 / ((N * sum((T_sim).^2) - (sum(T_sim))^2) * (N * sum((T_test).^2) - (sum(T_test))^2));

result = [T_test' T_sim' error']

figure

plot(1:N,T_test,'b:*',1:N,T_sim,'r-o')

legend('真实值','预测值')

xlabel('预测样本')

ylabel('辛烷值')

string = {'RBF：RBF实现测试集辛烷值含量预测结果对比—Jason niu';['R^2=' num2str(R2)]};

title(string)