RBF:RBF基于近红外光谱的汽油辛烷值含量预测结果对比—Jason niu
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)
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