Matlab中默认的监督学习训练算法是什么？

Question

With this code below

[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)]);

I will assume matlab uses its default learning algorithm since i did not specify any. What is the default supervised learning algorithm in matlab?

Answer 1

Gathered from the documentation on train at the bottom in the more about section:

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

So, you have to indicate it within net , which you create yourself.

Additionally you can provide your own 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 .