Unsupervised random order weight/bias training
net.trainFcn = 'trainru'
[net,tr] = train(net,...)
trainru is not called directly. Instead it is called by train for networks whose net.trainFcn property is set to 'trainru', thus:
net.trainFcn = 'trainru' sets the network trainFcn property.
[net,tr] = train(net,...) trains the network with trainru.
trainru trains a network with weight and bias learning rules with incremental updates after each presentation of an input. Inputs are presented in random order.
Training occurs according to trainru training parameters, shown here with their default values:
Maximum number of epochs to train
Epochs between displays (NaN for no displays)
Generate command-line output
Show training GUI
Maximum time to train in seconds
To prepare a custom network to be trained with trainru,
To train the network,
For each epoch, all training vectors (or sequences) are each presented once in a different random order, with the network and weight and bias values updated accordingly after each individual presentation.
Training stops when any of these conditions is met:
The maximum number of epochs (repetitions) is reached.
The maximum amount of time is exceeded.