Uses of Class
uchicago.src.sim.adaptation.neural.NeuralException

Packages that use NeuralException

uchicago.src.repastdemos.neural
uchicago.src.repastdemos.neuralfromfile
uchicago.src.sim.adaptation.neural

Uses of NeuralException in uchicago.src.repastdemos.neural

Methods in uchicago.src.repastdemos.neural that throw NeuralException

void	Employee.preStep()
void	Employee.step()

Uses of NeuralException in uchicago.src.repastdemos.neuralfromfile

Methods in uchicago.src.repastdemos.neuralfromfile that throw NeuralException

void	TrainedEmployee.loadBrainFromFile(java.lang.String neuralNetFileName) loads a neural network as this employee's brain from a specified file
void	TrainedEmployee.saveBrainToFile(java.lang.String neuralNetFileName) saves this agent's neural network to a file

Uses of NeuralException in uchicago.src.sim.adaptation.neural

Methods in uchicago.src.sim.adaptation.neural that throw NeuralException

static RepastNeuralWrapper	NeuralUtils.buildNetwork(int[] nodesPerLayer, java.lang.Class[] layerTypes, java.lang.Class[] synapseTypes) This builds a neural network using the specified parameters.
static RepastNeuralWrapper	NeuralUtils.buildNetwork(int[] nodesPerLayer, java.lang.Class layerType, java.lang.Class synapseType) This builds a neural network with nodesPerLayer.length layers, each layer being an instance of layerType, and each layer connected by a synapse of type synapseType.
static org.joone.engine.Synapse	NeuralUtils.linkLayers(org.joone.engine.Layer outLayer, org.joone.engine.Layer inLayer, java.lang.Class synapseType) Links two layers using the specified synapse type.
static RepastNeuralWrapper	NeuralUtils.loadNetFromFile(java.lang.String fileName) This method creates a RepastNeuralWrapper that is wrapping a serialized Joone NeuralNet.
org.joone.engine.Pattern	RepastNeuralWrapper.retrieve(org.joone.engine.InputPatternListener in) This method will retrieve a result Pattern from a network based on the in parameter.
static void	NeuralUtils.saveNetToFile(org.joone.net.NeuralNet net, java.lang.String fileName) Saves a NeuralNet to the specified file.
void	RepastNeuralWrapper.saveNetToFile(java.lang.String fileName) Saves the neural network this is wrapping to the specified file.
void	RepastNeuralWrapper.train(org.joone.engine.InputPatternListener in) Trains a network.