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## 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.

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