Neural_Networks

...............\ClassifierMLPerceptron

...............\......................\ClassifierMLPerceptron.java

...............\......................\Manifest

...............\ensemble

...............\........\Ensemble.java

...............\........\EnsembleNetwork.java

...............\........\EnsembleParameters.java

...............\........\Genesis.java

...............\........\Manifest

...............\........\Methods.xml

...............\........\Sample.java

...............\EvRBF_CL

...............\........\doEvRBF_Cl.java

...............\........\manifest

...............\........\ProcDataset.java

...............\........\Rbf.java

...............\........\Rbfn.java

...............\........\RbfnPopulation.java

...............\........\RBFUtils.java

...............\gann

...............\....\Compare.java

...............\....\ConnNetwork.java

...............\....\Data.java

...............\....\Gann.java

...............\....\Genesis.java

...............\....\Individual.java

...............\....\Manifest

...............\....\Network.java

...............\....\OpenDataset.java

...............\....\Parameters.java

...............\....\Population.java

...............\....\Rand.java

...............\....\Ranking.java

...............\....\Selector.java

...............\....\SetupParameters.java

...............\gmdh

...............\....\Data.java

...............\....\Genesis.java

...............\....\gmdh.java

...............\....\LM.java

...............\....\Manifest

...............\....\math.java

...............\....\Network.java

...............\....\node.java

...............\....\OpenDataset.java

...............\....\Parameters.java

...............\....\PrintfApplet.java

...............\....\PrintfFormat.java

...............\....\SetupParameters.java

...............\....\sonn.java

...............\IRPropPlus_Clas

...............\...............\FullRandomInitiator.java

...............\...............\IOptimizableFunc.java

...............\...............\IRPropPlus.java

...............\...............\IRPropPlusReporterClas.java

...............\...............\KEELIRPropPlusWrapperClas.java

...............\...............\Manifest

...............\...............\MSEOptimizablePUNeuralNetClassifier.java

...............\...............\MSEOptimizableSigmNeuralNetClassifier.java

...............\IRPropPlus_Regr

...............\...............\IRPropPlusReporterRegr.java

...............\...............\KEELIRPropPlusWrapperRegr.java

...............\...............\Manifest

...............\...............\MSEOptimizablePUNeuralNetRegressor.java

...............\...............\MSEOptimizableSigmNeuralNetRegressor.java

...............\LVQ

...............\...\LVQ.java

...............\...\Main.java

...............\...\Manifest

...............\ModelMLPerceptron

...............\.................\Manifest

...............\.................\ModelMLPerceptron.java

...............\net

...............\...\Data.java

...............\...\Genesis.java

...............\...\Manifest

...............\...\Matrix.java

...............\...\Network.java

...............\...\OpenDataset.java

...............\...\Parameters.java

...............\NNEP_Clas

...............\.........\algorithm

...............\.........\.........\classification

...............\.........\.........\..............\CCRElitistNeuralNetAlgorithm.java

...............\.........\KEELWrapperClas.java

...............\.........\listener

...............\.........\........\NeuralNetReporterClas.java

...............\.........\Manifest

...............\.........\neuralnet

...............\.........\.........\NeuralNetClassifier.java

...............\.........\problem

...............\.........\.......\classification

...............\.........\.......\..............\IClassifier.java

...............\.........\.......\..............\softmax

...............\.........\.......\..............\.......\ClassificationProblemEvaluator.java

...............\.........\.......\..............\.......\ISoftmaxClassifier.java

...............\.........\.......\..............\.......\SoftmaxClassificationProblemEvaluato