Uses of Class
weka.classifiers.functions.neural.NeuralConnection

Packages that use NeuralConnection

weka.classifiers.functions
weka.classifiers.functions.neural

Uses of NeuralConnection in weka.classifiers.functions

Subclasses of NeuralConnection in weka.classifiers.functions

protected class

MultilayerPerceptron.NeuralEnd This inner class is used to connect the nodes in the network up to the data that they are classifying, Note that objects of this class are only suitable to go on the attribute side or class side of the network and not both.

Fields in weka.classifiers.functions declared as NeuralConnection

private NeuralConnection[]

MultilayerPerceptron.m_neuralNodes All the nodes that actually comprise the logical neural net.

Methods in weka.classifiers.functions with parameters of type NeuralConnection

private void	MultilayerPerceptron.addNode(NeuralConnection n) Call this function to place a node into the network list.
private boolean	MultilayerPerceptron.removeNode(NeuralConnection n) Call this function to remove the passed node from the list.

Uses of NeuralConnection in weka.classifiers.functions.neural

Subclasses of NeuralConnection in weka.classifiers.functions.neural

class

NeuralNode This class is used to represent a node in the neuralnet.

Fields in weka.classifiers.functions.neural declared as NeuralConnection

protected NeuralConnection[]	NeuralConnection.m_inputList The list of inputs to this unit.
protected NeuralConnection[]	NeuralConnection.m_outputList The list of outputs from this unit.

Methods in weka.classifiers.functions.neural that return NeuralConnection

NeuralConnection[]	NeuralConnection.getInputs() Use this to get easy access to the inputs.
NeuralConnection[]	NeuralConnection.getOutputs() Use this to get easy access to the outputs.

Methods in weka.classifiers.functions.neural with parameters of type NeuralConnection

protected boolean	NeuralNode.connectInput(NeuralConnection i, int n) This will connect the specified unit to be an input to this unit.
protected boolean	NeuralNode.disconnectInput(NeuralConnection i, int n) This will disconnect the input with the specific connection number From this node (only on this end however).
protected boolean	NeuralConnection.connectInput(NeuralConnection i, int n) This will connect the specified unit to be an input to this unit.
protected boolean	NeuralConnection.connectOutput(NeuralConnection o, int n) This will connect the specified unit to be an output to this unit.
protected boolean	NeuralConnection.disconnectInput(NeuralConnection i, int n) This will disconnect the input with the specific connection number From this node (only on this end however).
protected boolean	NeuralConnection.disconnectOutput(NeuralConnection o, int n) This will disconnect the output with the specific connection number From this node (only on this end however).
static boolean	NeuralConnection.connect(NeuralConnection s, NeuralConnection t) Connects two units together.
static boolean	NeuralConnection.disconnect(NeuralConnection s, NeuralConnection t) Disconnects two units.