RBF：RBF基于近红外光谱的汽油辛烷值含量预测结果对比
目录
输出结果
代码设计
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']figureplot(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)
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RBF：RBF基于近红外光谱的汽油辛烷值含量预测结果对比
