Uses of Interface
org.simbrain.network.trainers.Trainable

Packages that use Trainable

Package	Description
org.simbrain.network.gui.dialogs.network	The network.gui.dialogs.network package contains dialog classes that manage the creation and editing of network-level dialog boxes.
org.simbrain.network.gui.trainer	The network.gui.trainer package contains components that can be used to display trainer.
org.simbrain.network.subnetworks	The network.subnetworks package contains all bottom-level subclasses of group.
org.simbrain.network.trainers	The network.trainers package contains supervised learning algorithms.

Uses of Trainable in org.simbrain.network.gui.dialogs.network

Constructors in org.simbrain.network.gui.dialogs.network with parameters of type Trainable

Constructor and Description
SupervisedTrainingDialog(NetworkPanel np, Trainable trainable) Default constructor.

Uses of Trainable in org.simbrain.network.gui.trainer

Methods in org.simbrain.network.gui.trainer with parameters of type Trainable

Modifier and Type	Method and Description
static javax.swing.Action	TrainerGuiActions.getEditCombinedDataAction(NetworkPanel networkPanel, Trainable trainable) Action for viewing two datatables, one for input data; the other for training data.

Constructors in org.simbrain.network.gui.trainer with parameters of type Trainable

Constructor and Description
TrainingSetPanel(Trainable trainable, int numVisibleColumnsPerTable) Construct a new pane for displaying training sets.

Uses of Trainable in org.simbrain.network.subnetworks

Classes in org.simbrain.network.subnetworks that implement Trainable

Modifier and Type	Class and Description
class	BackpropNetwork Backprop network.
class	BPTTNetwork Implements a network to be trained using backprop through time.
class	CompetitiveNetwork CompetitiveNetwork is a small network encompassing a Competitive group.
class	Hopfield Hopfield is a basic implementation of a discrete Hopfield network.
class	LMSNetwork A Least Mean Squares network.
class	SimpleRecurrentNetwork Implements a simple recurrent network (See, e.g, Elman 1991).
class	SOMNetwork SOMNetwork is a small network encompassing an SOM group.

Uses of Trainable in org.simbrain.network.trainers

Fields in org.simbrain.network.trainers declared as Trainable

Modifier and Type	Field and Description
protected Trainable	Trainer.network The trainable object to be trained.

Methods in org.simbrain.network.trainers that return Trainable

Modifier and Type	Method and Description
static Trainable	Trainer.getTrainable(Group trainedGroup, java.util.List<Neuron> inputNeurons, java.util.List<Neuron> outputNeurons, double[][] inputData, double[][] targetData) Utility method for creating a trainable object.
Trainable	Trainer.getTrainableNetwork()

Methods in org.simbrain.network.trainers with parameters of type Trainable

Modifier and Type	Method and Description
protected int	IterableTrainer.getMinimumNumRows(Trainable network) Returns the number of rows in whichever dataset has fewer rows.
void	LMSOffline.moorePenroseSolution(Trainable network) Moore penrose.
void	LMSOffline.weinerHopfSolution(Trainable network) Implements the Wiener-Hopf solution to LMS linear regression.

Constructors in org.simbrain.network.trainers with parameters of type Trainable

Constructor and Description
BackpropTrainer(Trainable network, java.util.List<java.util.List<Neuron>> layers) Construct the backprop trainer.
IterableTrainer(Trainable network) Construct the iterable trainer.
LMSIterative(Trainable network) Construct a least mean squares iterative panel.
LMSOffline(Trainable network) Construct the LMSOOffline object, with a trainable network the Synapse group where the new synapses will be placed.
Trainer(Trainable network) Construct the trainer and pass in a reference to the trainable element.