Uses of Interface
org.encog.neural.data.NeuralData

Packages that use NeuralData
org.encog.neural.data   
org.encog.neural.data.basic   
org.encog.neural.data.bipolar   
org.encog.neural.data.buffer   
org.encog.neural.data.csv   
org.encog.neural.data.folded   
org.encog.neural.data.image   
org.encog.neural.data.market   
org.encog.neural.data.sql   
org.encog.neural.data.temporal   
org.encog.neural.data.union   
org.encog.neural.data.xml   
org.encog.neural.networks   
org.encog.neural.networks.layers   
org.encog.neural.networks.logic   
org.encog.neural.networks.svm   
org.encog.neural.networks.synapse   
org.encog.neural.networks.synapse.neat   
org.encog.neural.networks.training.competitive   
org.encog.neural.networks.training.cpn   
org.encog.normalize   
org.encog.util.simple   
 

Uses of NeuralData in org.encog.neural.data
 

Methods in org.encog.neural.data that return NeuralData
 NeuralData NeuralData.clone()
          Clone this object.
 NeuralData NeuralDataPair.getIdeal()
           
 NeuralData NeuralDataPair.getInput()
           
 

Methods in org.encog.neural.data with parameters of type NeuralData
 void NeuralDataSet.add(NeuralData data1)
          Add a NeuralData object to the dataset.
 void NeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Add a set of input and ideal data to the dataset.
 

Uses of NeuralData in org.encog.neural.data.basic
 

Classes in org.encog.neural.data.basic that implement NeuralData
 class BasicNeuralData
          Basic implementation of the NeuralData interface that stores the data in an array.
 

Methods in org.encog.neural.data.basic that return NeuralData
 NeuralData BasicNeuralData.clone()
           
 NeuralData BasicNeuralDataPair.getIdeal()
          Get the expected results.
 NeuralData BasicNeuralDataPair.getInput()
          Get the input data.
 

Methods in org.encog.neural.data.basic with parameters of type NeuralData
 void BasicNeuralDataSet.add(NeuralData data)
          Add input to the training set with no expected output.
 void BasicNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Add input and expected output.
 

Constructors in org.encog.neural.data.basic with parameters of type NeuralData
BasicNeuralData(NeuralData d)
          Construct a new BasicNeuralData object from an existing one.
BasicNeuralDataPair(NeuralData input)
          Construct the object with only input.
BasicNeuralDataPair(NeuralData input, NeuralData ideal)
          Construct a BasicNeuralDataPair class with the specified input and ideal values.
 

Uses of NeuralData in org.encog.neural.data.bipolar
 

Classes in org.encog.neural.data.bipolar that implement NeuralData
 class BiPolarNeuralData
          A NeuralData implementation designed to work with bipolar data.
 

Methods in org.encog.neural.data.bipolar that return NeuralData
 NeuralData BiPolarNeuralData.clone()
           
 

Uses of NeuralData in org.encog.neural.data.buffer
 

Methods in org.encog.neural.data.buffer with parameters of type NeuralData
 void BufferedNeuralDataSet.add(NeuralData data1)
          Add only input data, for an unsupervised dataset.
 void BufferedNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Add both the input and ideal data.
 

Uses of NeuralData in org.encog.neural.data.csv
 

Methods in org.encog.neural.data.csv with parameters of type NeuralData
 void CSVNeuralDataSet.add(NeuralData data1)
          Adds are not supported.
 void CSVNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Adds are not supported.
 

Uses of NeuralData in org.encog.neural.data.folded
 

Methods in org.encog.neural.data.folded with parameters of type NeuralData
 void FoldedDataSet.add(NeuralData data1)
          Not supported.
 void FoldedDataSet.add(NeuralData inputData, NeuralData idealData)
          Not supported.
 

Uses of NeuralData in org.encog.neural.data.image
 

Classes in org.encog.neural.data.image that implement NeuralData
 class ImageNeuralData
          An extension of the BasicNeuralData class that is designed to hold images for input into a neural network.
 

Methods in org.encog.neural.data.image with parameters of type NeuralData
 void ImageNeuralDataSet.add(NeuralData data)
          Add the specified data, must be an ImageNeuralData class.
 void ImageNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Add the specified input and ideal object to the collection.
 

Uses of NeuralData in org.encog.neural.data.market
 

Methods in org.encog.neural.data.market that return NeuralData
 NeuralData MarketNeuralDataSet.generateInputForPrediction(Date date)
          To be implemented later.
 

Uses of NeuralData in org.encog.neural.data.sql
 

Methods in org.encog.neural.data.sql with parameters of type NeuralData
 void SQLNeuralDataSet.add(NeuralData data1)
          Adds are not supported.
 void SQLNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Adds are not supported.
 

Uses of NeuralData in org.encog.neural.data.temporal
 

Methods in org.encog.neural.data.temporal with parameters of type NeuralData
 void TemporalNeuralDataSet.add(NeuralData data)
          Adding directly is not supported.
 void TemporalNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Adding directly is not supported.
 

Uses of NeuralData in org.encog.neural.data.union
 

Methods in org.encog.neural.data.union with parameters of type NeuralData
 void UnionNeuralDataSet.add(NeuralData data1)
          Not supported.
 void UnionNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Not supported.
 

Uses of NeuralData in org.encog.neural.data.xml
 

Methods in org.encog.neural.data.xml with parameters of type NeuralData
 void XMLNeuralDataSet.add(NeuralData data1)
          Adds are not supported, this is a read only data set.
 void XMLNeuralDataSet.add(NeuralData inputData, NeuralData idealData)
          Adds are not supported, this is a read only data set.
 

Uses of NeuralData in org.encog.neural.networks
 

Methods in org.encog.neural.networks that return NeuralData
 NeuralData Network.compute(NeuralData input)
          Compute the output for a given input to the neural network.
 NeuralData BasicNetwork.compute(NeuralData input)
          Compute the output for a given input to the neural network.
 NeuralData Network.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for a given input to the neural network.
 NeuralData BasicNetwork.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for a given input to the neural network.
 NeuralData NeuralDataMapping.getFrom()
           
 NeuralData NeuralOutputHolder.getOutput()
           
 NeuralData NeuralDataMapping.getTo()
           
 

Methods in org.encog.neural.networks that return types with arguments of type NeuralData
 Map<Synapse,NeuralData> NeuralOutputHolder.getResult()
           
 

Methods in org.encog.neural.networks with parameters of type NeuralData
 NeuralData Network.compute(NeuralData input)
          Compute the output for a given input to the neural network.
 NeuralData BasicNetwork.compute(NeuralData input)
          Compute the output for a given input to the neural network.
 NeuralData Network.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for a given input to the neural network.
 NeuralData BasicNetwork.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for a given input to the neural network.
static int BasicNetwork.determineWinner(NeuralData output)
          Determine which member of the output is the winning neuron.
 void NeuralDataMapping.setFrom(NeuralData from)
          Set the from data.
 void NeuralOutputHolder.setOutput(NeuralData output)
          Set the output.
 void NeuralDataMapping.setTo(NeuralData to)
          Set the target data.
 int Network.winner(NeuralData input)
          Determine the winner for the specified input.
 int BasicNetwork.winner(NeuralData input)
          Determine the winner for the specified input.
 

Constructors in org.encog.neural.networks with parameters of type NeuralData
NeuralDataMapping(NeuralData from, NeuralData to)
          Construct the neural data mapping class with the specified values.
 

Uses of NeuralData in org.encog.neural.networks.layers
 

Methods in org.encog.neural.networks.layers that return NeuralData
 NeuralData RadialBasisFunctionLayer.compute(NeuralData pattern)
          Compute the values before sending output to the next layer.
 NeuralData Layer.compute(NeuralData pattern)
          Compute the output for this layer.
 NeuralData BasicLayer.compute(NeuralData pattern)
          Compute the outputs for this layer given the input pattern.
 NeuralData ContextLayer.getContext()
           
 NeuralData Layer.recur()
          Called on recurrent layers to provide recurrent output.
 NeuralData ContextLayer.recur()
          Called to get the output from this layer when called in a recurrent manor.
 NeuralData BasicLayer.recur()
          Get the output from this layer when called in a recurrent manor.
 

Methods in org.encog.neural.networks.layers with parameters of type NeuralData
 NeuralData RadialBasisFunctionLayer.compute(NeuralData pattern)
          Compute the values before sending output to the next layer.
 NeuralData Layer.compute(NeuralData pattern)
          Compute the output for this layer.
 NeuralData BasicLayer.compute(NeuralData pattern)
          Compute the outputs for this layer given the input pattern.
 void Layer.process(NeuralData pattern)
          Process the data before it is modified by this layer.
 void ContextLayer.process(NeuralData pattern)
          Called to process input from the previous layer.
 void BasicLayer.process(NeuralData pattern)
          Process the input pattern.
 

Uses of NeuralData in org.encog.neural.networks.logic
 

Methods in org.encog.neural.networks.logic that return NeuralData
 NeuralData NeuralLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for the BasicNetwork class.
 NeuralData FeedforwardLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for a given input to the neural network.
 NeuralData BoltzmannLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Setup the network logic, read parameters from the network.
 NeuralData BAMLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Setup the network logic, read parameters from the network.
 NeuralData ART1Logic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for the BasicNetwork class.
 

Methods in org.encog.neural.networks.logic with parameters of type NeuralData
 void HopfieldLogic.addPattern(NeuralData pattern)
          Train the neural network for the specified pattern.
 void BAMLogic.addPattern(NeuralData inputPattern, NeuralData outputPattern)
          Add a pattern to the neural network.
 NeuralData NeuralLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for the BasicNetwork class.
 NeuralData FeedforwardLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for a given input to the neural network.
 NeuralData BoltzmannLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Setup the network logic, read parameters from the network.
 NeuralData BAMLogic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Setup the network logic, read parameters from the network.
 NeuralData ART1Logic.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for the BasicNetwork class.
 void SimpleRecurrentLogic.preprocessLayer(Layer layer, NeuralData input, Synapse source)
          Handle recurrent layers.
 void FeedforwardLogic.preprocessLayer(Layer layer, NeuralData input, Synapse source)
          Can be overridden by subclasses.
 

Uses of NeuralData in org.encog.neural.networks.svm
 

Methods in org.encog.neural.networks.svm that return NeuralData
 NeuralData SVMNetwork.compute(NeuralData input)
          Compute the output for the given input.
 NeuralData SVMNetwork.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for the given input.
 

Methods in org.encog.neural.networks.svm with parameters of type NeuralData
 NeuralData SVMNetwork.compute(NeuralData input)
          Compute the output for the given input.
 NeuralData SVMNetwork.compute(NeuralData input, NeuralOutputHolder useHolder)
          Compute the output for the given input.
 svm_node[] SVMNetwork.makeSparse(NeuralData data)
          Convert regular Encog NeuralData into the "sparse" data needed by an SVM.
 

Uses of NeuralData in org.encog.neural.networks.synapse
 

Methods in org.encog.neural.networks.synapse that return NeuralData
 NeuralData WeightlessSynapse.compute(NeuralData input)
          Compute the weightless output from this synapse.
 NeuralData WeightedSynapse.compute(NeuralData input)
          Compute the weighted output from this synapse.
 NeuralData Synapse.compute(NeuralData input)
          Compute the output from this synapse.
 NeuralData OneToOneSynapse.compute(NeuralData input)
          Compute the output from this synapse.
 NeuralData DirectSynapse.compute(NeuralData input)
          Compute the output from this synapse.
 

Methods in org.encog.neural.networks.synapse with parameters of type NeuralData
 NeuralData WeightlessSynapse.compute(NeuralData input)
          Compute the weightless output from this synapse.
 NeuralData WeightedSynapse.compute(NeuralData input)
          Compute the weighted output from this synapse.
 NeuralData Synapse.compute(NeuralData input)
          Compute the output from this synapse.
 NeuralData OneToOneSynapse.compute(NeuralData input)
          Compute the output from this synapse.
 NeuralData DirectSynapse.compute(NeuralData input)
          Compute the output from this synapse.
 

Uses of NeuralData in org.encog.neural.networks.synapse.neat
 

Methods in org.encog.neural.networks.synapse.neat that return NeuralData
 NeuralData NEATSynapse.compute(NeuralData input)
          Compute the output from this synapse.
 

Methods in org.encog.neural.networks.synapse.neat with parameters of type NeuralData
 NeuralData NEATSynapse.compute(NeuralData input)
          Compute the output from this synapse.
 

Uses of NeuralData in org.encog.neural.networks.training.competitive
 

Methods in org.encog.neural.networks.training.competitive with parameters of type NeuralData
 int BestMatchingUnit.calculateBMU(Synapse synapse, NeuralData input)
          Calculate the best matching unit (BMU).
 double BestMatchingUnit.calculateEuclideanDistance(Synapse synapse, NeuralData input, int outputNeuron)
          Calculate the Euclidean distance for the specified output neuron and the input vector.
 void CompetitiveTraining.trainPattern(NeuralData pattern)
          Train the specified pattern.
 

Uses of NeuralData in org.encog.neural.networks.training.cpn
 

Methods in org.encog.neural.networks.training.cpn with parameters of type NeuralData
 int FindCPN.winner(NeuralData data)
          Calculate the winning neuron from the data, this is the neuron that has the highest output.
 

Uses of NeuralData in org.encog.normalize
 

Methods in org.encog.normalize that return NeuralData
 NeuralData DataNormalization.buildForNetworkInput(double[] data)
          Build "input data for a neural network" based on the input values provided.
 

Uses of NeuralData in org.encog.util.simple
 

Methods in org.encog.util.simple with parameters of type NeuralData
static String EncogUtility.formatNeuralData(NeuralData data)
          Format neural data as a list of numbers.
 



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