cc.glsn.v15.neuralnet

Class ThreadedBrain

java.lang.Object

cc.glsn.v15.neuralnet.Brain

cc.glsn.v15.neuralnet.ThreadedBrain

All Implemented Interfaces:

Serializable

public class ThreadedBrain
extends Brain
implements Serializable

This class acts as a container for an artificial feed-forward neural network.

Supportes any number of inputs, any number of hidden layers of any size and any number of outputs. The inputs and outputs are identified with a string identifier so the user doesn't have to worry about indexing. Also, inputs and outputs may be added at any time, so not all inputs and outputs need to be known initialy.

Each input connects to each neuron on the first hidden layer is using the default input mapping of 'Full'. Each hidden layer is fully connected to the next hidden layer. Each neuron on the last hidden layer connects to the output neuron.

It is serializable, as are all the contained classes. Thus its state can be saved to files, databases, etc.

See Also:

#Brain(NetFunction, LinkedList, String), #Brain(NetFunction, LinkedList), Serialized Form

Constructor Summary

Constructors

Constructor and Description
ThreadedBrain(NetFunction functg, LinkedList<Integer> layerSizes, String inputMappingStyle, int threads)

Method Summary

Methods

Modifier and Type	Method and Description
Map<String,Double>	getAllOutputs() Get the output values for all output neurons in a map
double	getOutput(String name) Get the output from the single output neuron.
void	setThreads(int threads)
String	toString()

Methods inherited from class cc.glsn.v15.neuralnet.Brain

addInput, addInputGroup, addOutput, backPropogate, backPropogate, getInputNode, getInternalLinkCount, incSerial, removeOutput, setAllInput, setHiddenLayers, setInput

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

ThreadedBrain

public ThreadedBrain(NetFunction functg,
             LinkedList<Integer> layerSizes,
             String inputMappingStyle,
             int threads)

Parameters:

functg - The function used inside neurons

layerSizes - a list of hidden layer sizes

inputMappingStyle - Controls how the input layer is connected to the first hidden layer.

Current options are:

'Full' for each input node connected to each layer 1 neuron

'EvenSplit' each input node is connected to one neuron and each neuron has roughly equan number of inputs. This is for handling a very large number of inputs.

Method Detail

setThreads

public void setThreads(int threads)

getOutput

public double getOutput(String name)

Get the output from the single output neuron. It will internally cache until the inputs change, so it may be called repeatedly without incurring recomputation expense.

If called after inputs change, the network will of course have to be traversed to get the answer

Note: this can also be used to get the output value of hidden neurons if you know their name. Hidden neurons are named "hidden_L_N" where L is the layer number (zero indexed) and N is their position inside the layer (zero indexed).

If you ask for a non-existant neuron, you will get a null pointer exception

Overrides:

getOutput in class Brain

Returns:

output value for neuron

getAllOutputs

public Map<String,Double> getAllOutputs()

Get the output values for all output neurons in a map

Overrides:

getAllOutputs in class Brain

Returns:

a map of output names to values

toString

public String toString()

Overrides:

toString in class Brain