| AbsoluteNeuralPrediction | Neural network based prediction method |
| ANNetwork | A generic and extensible neural network |
| ANNFileFormat | Baseclass for ANNetwork file formats |
| ANNFileFormatLib | ANNetwork data file format library |
| ANNLayering | Older, layered ANN topology |
| ANNTopology | Baseclass for builder methods for ANNetworks |
| ArrayTrainSet | Data series training set, especially useful for time series |
| AverageDeltaPrediction | Average Change of Previous Years prediction method |
| BackpropTrainer | Error back propagation neural learning algorithm |
| BiNode | Bidirectionally linked graph node |
| ClassifResults | Struct for returning classification results from Learner::testClassify |
| CombinedPrediction | A combined trivial prediction method |
| Connection | A weighted connection between two Neuron neurons |
| DataFormat | Baseclass for PatternSet file formats |
| DataFormatLib | PatternSet data file format library |
| DeltaNeuralPrediction | Not in use currently |
| DummyInitializer | Dummy NeuronInitializer just leaves the neurons uninitialized |
| DummyTerminator | Dummy terminator that doesn't terminate at all |
| Equalizer | Abstract interface for vector equalization methods |
| GaussianEq | Normal distribution equalization method (strategy) |
| GaussianInitializer | Standard initializer for Neuron weights |
| GLTerminator | Generalization Loss Terminator by Prechelt |
| HistogramEq | Histogram equalization method (strategy) |
| LayeredTopology | Multilayer perceptron ANNTopology |
| Learner | Abstract interface for any ANN implementations |
| Lib | Generic abstract factory for a specific type of classes |
| MatrixEqualizer | Equalizes matrices |
| MinmaxEq | Linear range equalization method (strategy) |
| MonthlyDataSet | Contains data that has month information |
| NeuralPrediction | This might be a nice change for future |
| Neuron | The baseclass of neurons in ANNetwork |
| NeuronContainer | Neuron container |
| NeuronInitializer | Abstract interface class for Neuron weight initializers |
| NeuronVisitor | For making operations for neurons |
| PatternRow | This file is part of the Inanna library |
| PatternSet | Typical, tabular pattern set |
| PatternSource | The abstract base class for pattern sources such are PatternSet |
| PQTerminator | Progress quotient Terminator by Prechelt |
| PredictionStrategy | Abstract baseclass for different monthly prediction methods |
| PredictionStrategyLib | Factory of prediction strategies |
| PredictionTestResults | Holder for prediction test results |
| PreviousYear | Previous Year prediction method |
| PreviousYearsAvg | Average of Previous Years prediction method |
| PRTerminator | Another Terminator used in the examples of Prechelt's paper |
| RPropTrainer | Resilient error backpropagation algorithm by Riedmiller |
| SavingTerminator | A middle-level Terminator abstraction that supports saving the best network state so far |
| SNNSDataFormat | * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version |
| StochasticPrediction | This might be a nice change for future |
| Terminator | Abstract superclass for early stopping strategies for AnyNetwork |
| TerminatorT800 | A super-fast Terminator that doesn't save the network state |
| Trainer | Abstract baseclass for neural network training algorithms (strategies) |
| TrainingObserver | Callback observer for monitoring training progress |
| TrainParameters | Training parameter object for neural prediction methods |
| TransferFunc | Copyright : (C) 2000 by Marko Grönroos * email : magi@iki.fi * |
| UPTerminator | A Terminator that stops traning when the generalization error increased in n successive strips |
| ZeroDeltaPrediction | A dummy prediction method |
1.2.18