以下是一个简单的MATLAB深度学习BP神经网络代码示例:

%加载数据 load iris_dataset;

%将数据集分为训练集和测试集 [trainInd,valInd,testInd] = dividerand(150,0.7,0.0,0.3); train_inputs = irisInputs(:,trainInd); train_targets = irisTargets(:,trainInd); test_inputs = irisInputs(:,testInd); test_targets = irisTargets(:,testInd);

%设置神经网络的结构 net = feedforwardnet([10 4]);

%设置训练参数 net.trainFcn = 'traingd'; net.trainParam.epochs = 100; net.trainParam.goal = 0.01;

%训练神经网络 [net,tr] = train(net,train_inputs,train_targets);

%使用测试集进行预测 test_outputs = net(test_inputs);

%计算预测准确率 num_correct = 0; for i=1:size(test_outputs,2) [~,idx] = max(test_outputs(:,i)); if test_targets(idx,i) == 1 num_correct = num_correct + 1; end end accuracy = num_correct / size(test_outputs,2); disp(['Accuracy: ' num2str(accuracy)]);

请写一个 matlab deep learning bp神经网络代码

原文地址: https://www.cveoy.top/t/topic/Fzb 著作权归作者所有。请勿转载和采集!

免费AI点我,无需注册和登录