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A

AI.NeuralNetworks - package AI.NeuralNetworks
 
activation - Variable in class AI.NeuralNetworks.FeedForwardLayer
 
addDeltaWeights() - Method in class AI.NeuralNetworks.BackErrorPropagation
Adds the deltaWeights to the weights
addDeltaWeights() - Method in class AI.NeuralNetworks.DistributedBackErrorPropagation
Adds the all deltaWeights to the weights
addDeltaWeights(float) - Method in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
Adds the deltaWeights to the weights
addIntToArray(int[], int, int) - Static method in class AI.NeuralNetworks.FeedForwardNetwork
 
adjustDeltaWeights(float[], float[]) - Method in class AI.NeuralNetworks.BackErrorPropagation
Calculates the delta weights for this pattern and adds it to the acumlated deltas
adjustDeltaWeights(float[], FeedForwardLayer) - Method in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
Calculates and adds the delta weights for this pattern
adjustDeltaWeights(FeedForwardLayer, FeedForwardWeightedTrainingLayer) - Method in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
Calculates and adds the delta weights for this pattern

B

BackErrorPropagation - class AI.NeuralNetworks.BackErrorPropagation.
This Class is a nerual network with a multiple layer feed forward architecture where the back error propagation could be run
BackErrorPropagation(FeedForwardNetwork, float, float, long, float) - Constructor for class AI.NeuralNetworks.BackErrorPropagation
Creates a new BackErrorPropagation instance
BackErrorPropagation(FeedForwardNetwork) - Constructor for class AI.NeuralNetworks.BackErrorPropagation
Creates a new BackErrorPropagation instance
BackErrorPropagation() - Constructor for class AI.NeuralNetworks.BackErrorPropagation
this construcctor should not be used it is here for inheriterence only
bw - Variable in class AI.NeuralNetworks.DistributedBackErrorPropagation
 

C

COMMENT_TOKEN - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
COMMENT_TOKEN - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 
createWeights(BufferedReader, int, int) - Static method in class AI.NeuralNetworks.FeedForwardNetwork
 

D

DEFAULT_LEARNING_RATE - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
DEFAULT_MAXIMUM_EPOCH - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
DEFAULT_MOMENTUM_RATE - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
DEFAULT_STOP_ERROR - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
DistributedBackErrorPropagation - class AI.NeuralNetworks.DistributedBackErrorPropagation.
This Class is a nerual network with a multiple layer feed forward architecture where a distributed version of the back error propagation algorithm could be run
DistributedBackErrorPropagation(FeedForwardNetwork, BufferedWriter) - Constructor for class AI.NeuralNetworks.DistributedBackErrorPropagation
Creates a new DistributedBackErrorPropagation instance
DistributedBackErrorPropagation(FeedForwardNetwork) - Constructor for class AI.NeuralNetworks.DistributedBackErrorPropagation
Creates a new DistributedBackErrorPropagation instance
DistributedFeedForwardWeightedTrainingLayer - class AI.NeuralNetworks.DistributedFeedForwardWeightedTrainingLayer.
This class is used to represent the inner and output layers of a multilayer feed forward neural network
DistributedFeedForwardWeightedTrainingLayer(FeedForwardWeightedLayer) - Constructor for class AI.NeuralNetworks.DistributedFeedForwardWeightedTrainingLayer
creates a new insatnce of FeedForwardWeightedLayer
deltaWeights - Variable in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
 

E

END_TOKEN - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
error - Variable in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
 

F

FeedForwardInputLayer - class AI.NeuralNetworks.FeedForwardInputLayer.
This class is used to represent the first layer of a multilayer feed forward neural network
FeedForwardInputLayer(int) - Constructor for class AI.NeuralNetworks.FeedForwardInputLayer
creates a new insatnce of FeedForwardInputLayer
FeedForwardInputLayer(FeedForwardInputLayer) - Constructor for class AI.NeuralNetworks.FeedForwardInputLayer
creates a new insatnce of FeedForwardInputLayer
FeedForwardLayer - class AI.NeuralNetworks.FeedForwardLayer.
A multilayer feed forewar nerual network is composed by layers those layers are subclases of this class.
FeedForwardLayer() - Constructor for class AI.NeuralNetworks.FeedForwardLayer
 
FeedForwardNetwork - class AI.NeuralNetworks.FeedForwardNetwork.
This Class is a nerual network with a multiple layer feed forward architecture
FeedForwardNetwork() - Constructor for class AI.NeuralNetworks.FeedForwardNetwork
Creates a new FeedForwardNetwork This constructor should be only used by sublcases
FeedForwardNetwork(int[]) - Constructor for class AI.NeuralNetworks.FeedForwardNetwork
Creates a new FeedForwardNetwork
FeedForwardNetwork(String) - Constructor for class AI.NeuralNetworks.FeedForwardNetwork
Creates a new FeedForwardNetwork form the specified file
FeedForwardNetwork(BufferedReader) - Constructor for class AI.NeuralNetworks.FeedForwardNetwork
Creates a new FeedForwardNetwork form the specified BufferedReader
FeedForwardNetwork(int[], int) - Constructor for class AI.NeuralNetworks.FeedForwardNetwork
Creates a new FeedForwardNetwork form the specified BufferedReader
FeedForwardWeightedLayer - class AI.NeuralNetworks.FeedForwardWeightedLayer.
This class is used to represent the inner and output layers of a multilayer feed forward neural network
FeedForwardWeightedLayer(int, int) - Constructor for class AI.NeuralNetworks.FeedForwardWeightedLayer
creates a new insatnce of FeedForwardWeightedLayer
FeedForwardWeightedLayer(FeedForwardWeightedLayer) - Constructor for class AI.NeuralNetworks.FeedForwardWeightedLayer
creates a new insatnce of FeedForwardWeightedLayer
FeedForwardWeightedLayer(float[][]) - Constructor for class AI.NeuralNetworks.FeedForwardWeightedLayer
creates a new insatnce of FeedForwardWeightedLayer
FeedForwardWeightedTrainingLayer - class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer.
This class is used to represent the inner and output layers of a multilayer feed forward neural network where the back error propabation algorithm is run
FeedForwardWeightedTrainingLayer(FeedForwardWeightedLayer) - Constructor for class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
Creates a new FeedForwardWeightedTrainingLayer instance form a FeedForwardWeightedLayer instance

G

getActivation() - Method in class AI.NeuralNetworks.FeedForwardLayer
Returns this layers activation
getError() - Method in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
returns the error of the layer
getNextStringTokenizer(BufferedReader, String) - Static method in class AI.NeuralNetworks.BackErrorPropagation
 
getNextStringTokenizer(BufferedReader, String) - Static method in class AI.NeuralNetworks.FeedForwardNetwork
 
getOutputError() - Method in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
 
getVectors(BufferedReader) - Static method in class AI.NeuralNetworks.BackErrorPropagation
 
getVectorsFormFile(String) - Static method in class AI.NeuralNetworks.BackErrorPropagation
 
getWeights() - Method in class AI.NeuralNetworks.FeedForwardWeightedLayer
 

H

HEXADECIMAL_VERSION - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 
hosts - Variable in class AI.NeuralNetworks.DistributedBackErrorPropagation
 

I

INPUT_LAYER_TOKEN - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 
INPUT_TOKEN - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
input - Variable in class AI.NeuralNetworks.PatternPair
 
input() - Method in class AI.NeuralNetworks.PatternPair
Returns the input pattern
inputSize() - Method in class AI.NeuralNetworks.FeedForwardNetwork
returns the number of inputs of the net without counting the bias

L

layers - Variable in class AI.NeuralNetworks.FeedForwardNetwork
 
learningRate - Variable in class AI.NeuralNetworks.BackErrorPropagation
 

M

maximumEpoch - Variable in class AI.NeuralNetworks.BackErrorPropagation
 
momentumRate - Variable in class AI.NeuralNetworks.BackErrorPropagation
 

N

NUMBER_OF_LAYERS_TOKEN - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 
NeuralNetworkTeacher - interface AI.NeuralNetworks.NeuralNetworkTeacher.
This interface defines a NerualNetwork Teacher
Notify - interface AI.NeuralNetworks.Notify.
This interface defines an Notify object.
netToIntArrey() - Method in class AI.NeuralNetworks.FeedForwardNetwork
returns a int[] which represents a netework the weightValues are converted to int with the Float.floatToIntBits() method.
niceArray(float[]) - Static method in class AI.NeuralNetworks.DistributedBackErrorPropagation
 
niceArray(int[]) - Static method in class AI.NeuralNetworks.DistributedBackErrorPropagation
 
niceArray(float[]) - Static method in class AI.NeuralNetworks.PatternPair
 
notify(Object) - Method in interface AI.NeuralNetworks.Notify
this is the method called when is needed to notify
notifyError - Variable in class AI.NeuralNetworks.BackErrorPropagation
 

O

OUTPUT_TOKEN - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
output - Variable in class AI.NeuralNetworks.PatternPair
 
output() - Method in class AI.NeuralNetworks.PatternPair
Returns the output pattern
outputError - Variable in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
 
outputSize() - Method in class AI.NeuralNetworks.FeedForwardNetwork
returns the number of outputs of the net without counting the bias

P

PatternPair - class AI.NeuralNetworks.PatternPair.
This class has a input - output pattern for a nerual netwrok
PatternPair(float[], float[]) - Constructor for class AI.NeuralNetworks.PatternPair
Creates a new PatternPair instnce
parseDeltaWeights(BufferedReader) - Method in class AI.NeuralNetworks.DistributedBackErrorPropagation
adds the delta weights form br to the local delta weights
parseDeltaWeights(BufferedReader) - Method in class AI.NeuralNetworks.DistributedFeedForwardWeightedTrainingLayer
adds the delta weights form br to the local delta weights
parseStructure(String) - Static method in class AI.NeuralNetworks.BackErrorPropagation
converts a string composed by tokens that could be converted to int to an array of int

R

resetDeltaWeights() - Method in class AI.NeuralNetworks.BackErrorPropagation
Sets the acumulated delta weights to 0
resetDeltaWeights() - Method in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
Sets the acumulated delta weights to 0
resetError() - Method in class AI.NeuralNetworks.FeedForwardWeightedTrainingLayer
Sets the error of all this layer to 0
runLayer(FeedForwardLayer) - Method in class AI.NeuralNetworks.FeedForwardWeightedLayer
Calculates the new activation values of this layer based on the previous layer
runVector(float[]) - Method in class AI.NeuralNetworks.FeedForwardNetwork
Runs the network with the inputVector and returns the outputVector

S

SEED_WIDTH - Static variable in class AI.NeuralNetworks.FeedForwardWeightedLayer
 
save(BufferedWriter) - Method in class AI.NeuralNetworks.FeedForwardNetwork
Saves the neural network
saveToFile(String) - Method in class AI.NeuralNetworks.FeedForwardNetwork
Saves the neural network
sendDeltaWeights() - Method in class AI.NeuralNetworks.DistributedBackErrorPropagation
 
sendDeltaWeights(BufferedWriter) - Method in class AI.NeuralNetworks.DistributedFeedForwardWeightedTrainingLayer
Sendsthe deltaWeights to the weights in the BufferedWriter
sendError(float) - Method in class AI.NeuralNetworks.DistributedBackErrorPropagation
 
setInput(float[]) - Method in class AI.NeuralNetworks.FeedForwardInputLayer
sets the input values of the layer
setLearnningRate(float) - Method in class AI.NeuralNetworks.BackErrorPropagation
Sets the learnning rate
setMaximumEpoch(int) - Method in class AI.NeuralNetworks.BackErrorPropagation
Sets the maximum epoch
setNotifyError(Notify) - Method in class AI.NeuralNetworks.BackErrorPropagation
Sets an implementation of Notify, that will be notified of the error of each epoch
setStopError(float) - Method in class AI.NeuralNetworks.BackErrorPropagation
Sets the stop error
showList(LinkedList) - Static method in class AI.NeuralNetworks.DistributedBackErrorPropagation
 
sigmoid(float) - Static method in class AI.NeuralNetworks.FeedForwardWeightedLayer
returns the value of the sigmoid function 1/(1+exp(-x))
size() - Method in class AI.NeuralNetworks.FeedForwardLayer
Returns the size of the layer including the bias
sock - Variable in class AI.NeuralNetworks.DistributedBackErrorPropagation
 
stopError - Variable in class AI.NeuralNetworks.BackErrorPropagation
 

T

toString() - Method in class AI.NeuralNetworks.FeedForwardInputLayer
returns a String representation of the layer
toString() - Method in class AI.NeuralNetworks.FeedForwardLayer
returns a String representation of the layer
toString() - Method in class AI.NeuralNetworks.FeedForwardNetwork
retrurns a String representation of the net
toString() - Method in class AI.NeuralNetworks.FeedForwardWeightedLayer
returns a String representation of the layer
toString() - Method in class AI.NeuralNetworks.PatternPair
returns a string representation of the pattern
trainNetwork(LinkedList) - Method in class AI.NeuralNetworks.BackErrorPropagation
Trains the network with the given patterns
trainNetwork(LinkedList) - Method in class AI.NeuralNetworks.DistributedBackErrorPropagation
Trains the network with the given patterns
trainNetwork(LinkedList) - Method in interface AI.NeuralNetworks.NeuralNetworkTeacher
Trains the network with the given patterns

U

UnexpectedInputArraySizeException - exception AI.NeuralNetworks.UnexpectedInputArraySizeException.
 
UnexpectedInputArraySizeException() - Constructor for class AI.NeuralNetworks.UnexpectedInputArraySizeException
 
UnexpectedInputArraySizeException(String) - Constructor for class AI.NeuralNetworks.UnexpectedInputArraySizeException
 

V

VECTOR_TOKEN - Static variable in class AI.NeuralNetworks.BackErrorPropagation
 
VERSION - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 
VERSION_TOKEN - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 

W

WEIGHTED_LAYER_TOKEN - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 
WEIGHTS_TOKEN - Static variable in class AI.NeuralNetworks.FeedForwardNetwork
 
weights - Variable in class AI.NeuralNetworks.FeedForwardWeightedLayer
 

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