A B C D E G H I L M N O P R S T W X

A

addBias() - Method in class net.openai.ai.nn.network.Layer

Add the bias neuron.

addColumnName(String) - Method in class net.openai.ai.nn.parser.Data

Add a column name to the list.

addConnectionFrom(Connection) - Method in class net.openai.ai.nn.network.Neuron

Add a connection from this neuron.

addConnectionTo(Connection) - Method in class net.openai.ai.nn.network.Neuron

Add a connection to this neuron.

addElement(TrainingElement) - Method in class net.openai.ai.nn.training.TrainingSet

Adds a new training element to the system.

addLayer() - Method in class net.openai.ai.nn.network.Network

Adds a single layer to the network.

addNeuron() - Method in class net.openai.ai.nn.network.Layer

Creates and adds a single neuron to the layer.

addNeuron(Neuron) - Method in class net.openai.ai.nn.network.Layer

Adds a single neuron to the layer.

addRow(Vector) - Method in class net.openai.ai.nn.parser.Data

Add a single row of data.

Architecture - class net.openai.ai.nn.architecture.Architecture.

This class defines how the neural network will be constructed or connected.

Architecture() - Constructor for class net.openai.ai.nn.architecture.Architecture

B

BiasNeuron - class net.openai.ai.nn.network.BiasNeuron.

BiasNeuron() - Constructor for class net.openai.ai.nn.network.BiasNeuron

C

calculate() - Method in class net.openai.ai.nn.network.Layer

Processes this layer, calling the input function, then the transfer function and sets all variables for the learning process to be completed.

calculateError(Network) - Method in class net.openai.ai.nn.error.ErrorType

calculateError(Network) - Method in class net.openai.ai.nn.error.TestErrorType

calculateInput(Neuron) - Method in class net.openai.ai.nn.input.InputFunction

calculateInput(Neuron) - Method in class net.openai.ai.nn.input.TestInputFunction

clear() - Method in class net.openai.ai.nn.network.Layer

Clears all the existing neurons.

connect() - Method in class net.openai.ai.nn.network.Network

Connect the network using the networks' architecture rule.

Connection - class net.openai.ai.nn.network.Connection.

Connection() - Constructor for class net.openai.ai.nn.network.Connection

Connection(Neuron, Neuron) - Constructor for class net.openai.ai.nn.network.Connection

connectNetwork(Network) - Method in class net.openai.ai.nn.architecture.Architecture

Connects the network passed in to this method.

connectNetwork(Network) - Method in class net.openai.ai.nn.architecture.TestArchitecture

Connects the network passed in to this method.

correctLayer(Layer, TrainingElement) - Method in class net.openai.ai.nn.learning.LearningRule

correctLayer(Layer, TrainingElement) - Method in class net.openai.ai.nn.learning.TestLearningRule

D

Data - class net.openai.ai.nn.parser.Data.

Data() - Constructor for class net.openai.ai.nn.parser.Data

DataParser - class net.openai.ai.nn.parser.DataParser.

DataParser() - Constructor for class net.openai.ai.nn.parser.DataParser

db(String) - Method in class net.openai.ai.nn.error.ErrorType

db(String) - Method in class net.openai.ai.nn.input.InputFunction

db(String) - Method in class net.openai.ai.nn.learning.LearningRule

db(String) - Method in class net.openai.ai.nn.transfer.TransferFunction

E

ErrorType - class net.openai.ai.nn.error.ErrorType.

ErrorType() - Constructor for class net.openai.ai.nn.error.ErrorType

G

getArchitecture() - Method in class net.openai.ai.nn.network.Network

Get the value of architecture.

getColumnNames() - Method in class net.openai.ai.nn.parser.Data

Get the column names for this data.

getConfigFile() - Method in class net.openai.ai.nn.parser.Parser

getConnections() - Method in class net.openai.ai.nn.network.Neuron

Gets all connections for this neuron..

getConnectionsFrom() - Method in class net.openai.ai.nn.network.Neuron

Gets all 'from' connections for this neuron..

getConnectionsTo() - Method in class net.openai.ai.nn.network.Neuron

Gets all 'to' connections for this neuron..

getConnectionTo(Neuron) - Method in class net.openai.ai.nn.network.Neuron

Gets a connection to a particular neuron.

getDebug() - Static method in class net.openai.ai.nn.network.Network

Get the debug flag.

getDesired() - Method in class net.openai.ai.nn.training.TrainingElement

Returns the desired values for this element

getElements() - Method in class net.openai.ai.nn.training.TrainingSet

Returns an Enumeration of TrainingElements.

getError() - Method in class net.openai.ai.nn.network.Neuron

Gets the error for this neuron.

getError() - Method in class net.openai.ai.nn.network.Network

Get the network error.

getErrorCriterion() - Method in class net.openai.ai.nn.network.Network

Get the network errorCriterion.

getErrorType() - Method in class net.openai.ai.nn.network.Network

Get the value of errorType.

getFromNeuron() - Method in class net.openai.ai.nn.network.Connection

Get the from neuron

getHiddenLayers() - Method in class net.openai.ai.nn.network.Network

Gets the hidden layers for this network.

getInput() - Method in class net.openai.ai.nn.network.Neuron

Gets the input for this neuron.

getInput() - Method in class net.openai.ai.nn.training.TrainingElement

Returns the input values for this element

getInputCategories() - Method in class net.openai.ai.nn.training.TrainingSet

Returns a vector containing the names of the categories for the input data.

getInputFunction() - Method in class net.openai.ai.nn.network.Layer

Get the value of inputFunction.

getInputLayer() - Method in class net.openai.ai.nn.network.Network

Gets the input layer for this network.

getLastDelta() - Method in class net.openai.ai.nn.network.Weight

Get the weight's lastDelta.

getLayerAt(int) - Method in class net.openai.ai.nn.network.Network

Get a specific layer in the network..

getLayers() - Method in class net.openai.ai.nn.network.Network

Gets all layers for this network.

getLayerType() - Method in class net.openai.ai.nn.network.Layer

Get the layer type.

getLearning() - Method in class net.openai.ai.nn.network.Network

Get the learning flag.

getLearningRule() - Method in class net.openai.ai.nn.network.Layer

Get the value of learningRule.

getName() - Method in class net.openai.ai.nn.network.Layer

Gets the name for this layer.

getNeurons() - Method in class net.openai.ai.nn.network.Layer

Get the neurons for this layer.

getOutput() - Method in class net.openai.ai.nn.network.Neuron

Gets the output for this neuron.

getOutput() - Method in class net.openai.ai.nn.training.TrainingElement

Returns the current output values for this element

getOutputCategories() - Method in class net.openai.ai.nn.training.TrainingSet

Returns a vector containing the names of the categories for the output data.

getOutputLayer() - Method in class net.openai.ai.nn.network.Network

Gets the output layer for this network.

getRows() - Method in class net.openai.ai.nn.parser.Data

Get the rows of data.

getSize() - Method in class net.openai.ai.nn.network.Layer

Returns the number of neurons in this layer.

getToNeuron() - Method in class net.openai.ai.nn.network.Connection

Get the to neuron.

getTrainingElement() - Method in class net.openai.ai.nn.network.Network

Get the training element currently being worked on by the network.

getTrainingSet() - Method in class net.openai.ai.nn.network.Network

Get the training set to be worked on by the network.

getTransferFunction() - Method in class net.openai.ai.nn.network.Layer

Get the value of transferFunction.

getUseBias() - Method in class net.openai.ai.nn.network.Network

get the flag for whether this network will use a bias.

getValue() - Method in class net.openai.ai.nn.network.Weight

Get the weight's value.

getWeight() - Method in class net.openai.ai.nn.network.Connection

Get the weight associated with this connection.

getXML() - Method in interface net.openai.ai.nn.parser.XMLParser

H

HIDDEN_LAYER - Static variable in class net.openai.ai.nn.network.Layer

I

INPUT_LAYER - Static variable in class net.openai.ai.nn.network.Layer

InputFunction - class net.openai.ai.nn.input.InputFunction.

InputFunction() - Constructor for class net.openai.ai.nn.input.InputFunction

isConnected() - Method in class net.openai.ai.nn.network.Network

Returns whether the network has been connected.

isEmpty() - Method in class net.openai.ai.nn.training.TrainingSet

Returns whether this training set contains any elements.

isErrorSet() - Method in class net.openai.ai.nn.network.Neuron

Returns a flag that tells whether this neuron has had the error set

iterate() - Method in class net.openai.ai.nn.network.Network

Iterates the network once.

iterate(int) - Method in class net.openai.ai.nn.network.Network

Iterates the network for a specified number of iterations

iterateNetwork(Network) - Method in class net.openai.ai.nn.architecture.Architecture

Iterates the network according to the rules set by the architecture.

iterateNetwork(Network) - Method in class net.openai.ai.nn.architecture.TestArchitecture

Iterates the network according to the rules set by the architecture.

iterateToCriterion() - Method in class net.openai.ai.nn.network.Network

Iterates the network for a specified number of iterations

L

Layer - class net.openai.ai.nn.network.Layer.

This class is a container for neurons and keeps state information for this layer.

Layer() - Constructor for class net.openai.ai.nn.network.Layer

learn(TrainingElement) - Method in class net.openai.ai.nn.network.Layer

The learning method for the layer.

LearningRule - class net.openai.ai.nn.learning.LearningRule.

LearningRule() - Constructor for class net.openai.ai.nn.learning.LearningRule

loadConfiguration() - Method in class net.openai.ai.nn.parser.Parser

loadConfiguration(File) - Method in class net.openai.ai.nn.network.Network

Creates a network by loading a configuration file.

loadConfiguration(String) - Method in class net.openai.ai.nn.network.Network

Creates a network by loading a configuration file by name.

loadTrainingData(String, String) - Method in class net.openai.ai.nn.network.Network

Loads the data from the specified file.

M

main(String[]) - Static method in class net.openai.ai.nn.network.Network

The 'main' of the network.

main(String[]) - Static method in class net.openai.ai.nn.parser.Parser

main(String[]) - Static method in class net.openai.ai.nn.parser.DataParser

N

net.openai.ai.nn.architecture - package net.openai.ai.nn.architecture

net.openai.ai.nn.error - package net.openai.ai.nn.error

net.openai.ai.nn.input - package net.openai.ai.nn.input

net.openai.ai.nn.learning - package net.openai.ai.nn.learning

net.openai.ai.nn.network - package net.openai.ai.nn.network

net.openai.ai.nn.parser - package net.openai.ai.nn.parser

net.openai.ai.nn.training - package net.openai.ai.nn.training

net.openai.ai.nn.transfer - package net.openai.ai.nn.transfer

Network - class net.openai.ai.nn.network.Network.

This class encapsulates all global info on the neural network and contains information on the architecture type and error type.

Network() - Constructor for class net.openai.ai.nn.network.Network

Network(String) - Constructor for class net.openai.ai.nn.network.Network

Constructor use to create a network from a configuration file.

Neuron - class net.openai.ai.nn.network.Neuron.

Neuron() - Constructor for class net.openai.ai.nn.network.Neuron

O

OUTPUT_LAYER - Static variable in class net.openai.ai.nn.network.Layer

P

parseData(String) - Static method in class net.openai.ai.nn.parser.DataParser

Parses a file and returns the data in a hashtable, keyed on a column name.

Parser - class net.openai.ai.nn.parser.Parser.

Parser() - Constructor for class net.openai.ai.nn.parser.Parser

Parser(File) - Constructor for class net.openai.ai.nn.parser.Parser

parseXML() - Method in interface net.openai.ai.nn.parser.XMLParser

printDocument(Document) - Method in class net.openai.ai.nn.parser.Parser

printNode(Node) - Method in class net.openai.ai.nn.parser.Parser

printXML() - Method in interface net.openai.ai.nn.parser.XMLParser

R

ready(Layer) - Method in class net.openai.ai.nn.learning.LearningRule

ready(Layer) - Method in class net.openai.ai.nn.learning.TestLearningRule

readyToLearn() - Method in class net.openai.ai.nn.network.Layer

Calls the learning rule to see if it's ready to process this layer.

S

seedNeurons(Vector) - Method in class net.openai.ai.nn.network.Layer

Seed the neurons with input.

setArchitecture(Architecture) - Method in class net.openai.ai.nn.network.Network

Set the value of architecture.

setColumnNames(Vector) - Method in class net.openai.ai.nn.parser.Data

Set the column names for this data.

setConfigFile(File) - Method in class net.openai.ai.nn.parser.Parser

setConnected(boolean) - Method in class net.openai.ai.nn.network.Network

Set the connected flag.

setDebug(boolean) - Method in class net.openai.ai.nn.network.Network

Set the debug flag.

setDesired(Vector) - Method in class net.openai.ai.nn.training.TrainingElement

Sets the desired values for this element

setError(double) - Method in class net.openai.ai.nn.network.Neuron

Sets the error for this neuron.

setError(double) - Method in class net.openai.ai.nn.network.Network

Set the network error.

setErrorCriterion(double) - Method in class net.openai.ai.nn.network.Network

Set the network errorCriterion.

setErrorType(ErrorType) - Method in class net.openai.ai.nn.network.Network

Set the value of errorType.

setFromNeuron(Neuron) - Method in class net.openai.ai.nn.network.Connection

Set the from neuron

setInput(double) - Method in class net.openai.ai.nn.network.Neuron

Sets the input for this neuron.

setInput(Vector) - Method in class net.openai.ai.nn.training.TrainingElement

Sets the input values for this element

setInputCategories(Vector) - Method in class net.openai.ai.nn.training.TrainingSet

Sets the categories for thhe input data.

setInputFunction(InputFunction) - Method in class net.openai.ai.nn.network.Layer

Set the value of inputFunction.

setLastDelta(double) - Method in class net.openai.ai.nn.network.Weight

Set the weight's lastDelta.

setLayerAt(Layer, int) - Method in class net.openai.ai.nn.network.Network

Set a specific position in the network to be a specific layer.

setLayerType(int) - Method in class net.openai.ai.nn.network.Layer

Set the layer type.

setLearning(boolean) - Method in class net.openai.ai.nn.network.Network

Set the learning flag.

setLearningRule(LearningRule) - Method in class net.openai.ai.nn.network.Layer

Set the value of learningRule.

setName(String) - Method in class net.openai.ai.nn.network.Layer

Sets the name for this layer.

setOutput(double) - Method in class net.openai.ai.nn.network.Neuron

Sets the output for this neuron.

setOutput(Vector) - Method in class net.openai.ai.nn.training.TrainingElement

Sets the output values for this element

setOutputCategories(Vector) - Method in class net.openai.ai.nn.training.TrainingSet

Sets the categories for the output data..

setRows(Vector) - Method in class net.openai.ai.nn.parser.Data

Set the rows of data.

setSize(int) - Method in class net.openai.ai.nn.network.Network

Sets the size of this network.

setSize(int) - Method in class net.openai.ai.nn.network.Layer

Sets the number of neurons in this layer, this should behave much like the Vector.setSize() in that, if i > current Size, new neurons are added to the layer and if i < current Size then any neuron at index i or greater are discarded.

setToNeuron(Neuron) - Method in class net.openai.ai.nn.network.Connection

Set the to neuron.

setTrainingElement(TrainingElement) - Method in class net.openai.ai.nn.network.Network

Set the training element to be worked on by the network.

setTrainingSet(TrainingSet) - Method in class net.openai.ai.nn.network.Network

Set the training set to be worked on by the network.

setTransferFunction(TransferFunction) - Method in class net.openai.ai.nn.network.Layer

Set the value of transferFunction.

setUseBias(boolean) - Method in class net.openai.ai.nn.network.Network

Set whether the network will use a bias.

setValue(double) - Method in class net.openai.ai.nn.network.Weight

Set the weight's value.

setWeight(Weight) - Method in class net.openai.ai.nn.network.Connection

Set the weight to be associated with this connection.

setXML(Node) - Method in interface net.openai.ai.nn.parser.XMLParser

size() - Method in class net.openai.ai.nn.training.TrainingSet

Returns the number of elements in this set.

T

TestArchitecture - class net.openai.ai.nn.architecture.TestArchitecture.

This class defines how the neural network will be constructed or connected.

TestArchitecture() - Constructor for class net.openai.ai.nn.architecture.TestArchitecture

TestErrorType - class net.openai.ai.nn.error.TestErrorType.

TestErrorType() - Constructor for class net.openai.ai.nn.error.TestErrorType

TestInputFunction - class net.openai.ai.nn.input.TestInputFunction.

TestInputFunction() - Constructor for class net.openai.ai.nn.input.TestInputFunction

TestLearningRule - class net.openai.ai.nn.learning.TestLearningRule.

TestLearningRule() - Constructor for class net.openai.ai.nn.learning.TestLearningRule

TestTransferFunction - class net.openai.ai.nn.transfer.TestTransferFunction.

TestTransferFunction() - Constructor for class net.openai.ai.nn.transfer.TestTransferFunction

toString() - Method in class net.openai.ai.nn.network.Neuron

Returns a string rpresentation of the neuron.

toString() - Method in class net.openai.ai.nn.network.Layer

Returns a String representation of this layer.\

toString() - Method in class net.openai.ai.nn.parser.Data

Returns a String of the columns and the data.

toString() - Method in class net.openai.ai.nn.training.TrainingElement

Returns a string representation of the training element.

TrainingElement - class net.openai.ai.nn.training.TrainingElement.

TrainingElement() - Constructor for class net.openai.ai.nn.training.TrainingElement

TrainingElement(Vector, Vector) - Constructor for class net.openai.ai.nn.training.TrainingElement

TrainingSet - class net.openai.ai.nn.training.TrainingSet.

TrainingSet() - Constructor for class net.openai.ai.nn.training.TrainingSet

transfer(Neuron) - Method in class net.openai.ai.nn.transfer.TransferFunction

transfer(Neuron) - Method in class net.openai.ai.nn.transfer.TestTransferFunction

TransferFunction - class net.openai.ai.nn.transfer.TransferFunction.

TransferFunction() - Constructor for class net.openai.ai.nn.transfer.TransferFunction

W

Weight - class net.openai.ai.nn.network.Weight.

Weight() - Constructor for class net.openai.ai.nn.network.Weight

X

XMLParser - interface net.openai.ai.nn.parser.XMLParser.

A B C D E G H I L M N O P R S T W X