matlab中默认的监督学习训练算法是什么？

Question

使用下面的代码

[x,t] = iris_dataset;
net = patternnet;
net = configure(net,x,t);
net = train(net,x,t); 
save('C:\Temp\trained_net.mat','net');
y = net(x);
perf = perform(net,t,y);
display(['performance: ', num2str(perf)]);

我假设 matlab 使用它的默认学习算法，因为我没有指定任何算法。 matlab默认的监督学习算法是什么？

Answer 1

收集自 更多关于 部分底部的 documentation on train：

train calls the function indicated by net.trainFcn, using the training parameter values indicated by net.trainParam.

因此，您必须在自己创建的 net 中注明。

此外，您可以提供自己的 training function:

To prepare a custom network to be trained with trainru,

• Set net.trainFcn to 'trainru'. This sets net.trainParam to trainru's default parameters.
• Set each net.inputWeights{i,j}.learnFcn to a learning function.
• Set each net.layerWeights{i,j}.learnFcn to a learning function.

• Set each net.biases{i}.learnFcn to a learning function. (Weight and bias learning parameters are automatically set to default values for the given learning function.) To train the network,

• Set net.trainParam properties to desired values.

• Set weight and bias learning parameters to desired values.
• Call train.