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

M

main(String[]) - Static method in class org.neuroph.contrib.imgrec.ImageRecognitionSample
 
main(String[]) - Static method in class org.neuroph.samples.HopfieldSample
Runs this sample
main(String[]) - Static method in class org.neuroph.samples.PerceptronSample
Runs this sample
Main - Class in org.neuroph.samples.stockmarket
Main class which runs the stock market prediction sample - creates and trains neural network for stock prediction.
Main() - Constructor for class org.neuroph.samples.stockmarket.Main
 
main(String[]) - Static method in class org.neuroph.samples.stockmarket.Main
 
main(String[]) - Static method in class org.neuroph.samples.timeseries.GenerateTrainingSets
Generates datasets used in time series prediction tutorial
main(String[]) - Static method in class org.neuroph.samples.XorMultiLayerPerceptronSample
Runs this sample
Max - Class in org.neuroph.core.input
Performs max function on input vector
Max() - Constructor for class org.neuroph.core.input.Max
 
maxError - Variable in class org.neuroph.core.learning.SupervisedLearning
Max allowed network error (condition to stop learning)
maxIterations - Variable in class org.neuroph.core.learning.IterativeLearning
Max training iterations (when to stopLearning training) TODO: this field should be private, to force use of setMaxIterations from derived classes, so iterationsLimited flag is also set at the sam etime.Wil that break backward compatibility with serialized networks?
MaxNet - Class in org.neuroph.nnet
Max Net neural network with competitive learning rule.
MaxNet(int) - Constructor for class org.neuroph.nnet.MaxNet
Creates new Maxnet network with specified neuron number
Min - Class in org.neuroph.core.input
Performs min function on input vector
Min() - Constructor for class org.neuroph.core.input.Min
 
ModularNetwork - Class in org.neuroph.nnet
Neural networks container for creating modular neural networks still under development - not finished
ModularNetwork() - Constructor for class org.neuroph.nnet.ModularNetwork
 
momentum - Variable in class org.neuroph.nnet.learning.MomentumBackpropagation
Momentum factor
MomentumBackpropagation - Class in org.neuroph.nnet.learning
Backpropagation learning rule with momentum.
MomentumBackpropagation() - Constructor for class org.neuroph.nnet.learning.MomentumBackpropagation
Creates new instance of MomentumBackpropagation learning
MomentumBackpropagation(NeuralNetwork) - Constructor for class org.neuroph.nnet.learning.MomentumBackpropagation
Creates new instance of MomentumBackpropagation learning for the specified neural network
MultiLayerPerceptron - Class in org.neuroph.nnet
Multi Layer Perceptron neural network with Back propagation learning algorithm.
MultiLayerPerceptron(Vector<Integer>) - Constructor for class org.neuroph.nnet.MultiLayerPerceptron
Creates new MultiLayerPerceptron with specified number of neurons in layers
MultiLayerPerceptron(int...) - Constructor for class org.neuroph.nnet.MultiLayerPerceptron
 
MultiLayerPerceptron(TransferFunctionType, int...) - Constructor for class org.neuroph.nnet.MultiLayerPerceptron
 
MultiLayerPerceptron(Vector<Integer>, TransferFunctionType) - Constructor for class org.neuroph.nnet.MultiLayerPerceptron
 
MultiLayerPerceptron(Vector<Integer>, NeuronProperties) - Constructor for class org.neuroph.nnet.MultiLayerPerceptron
Creates new MultiLayerPerceptron net with specified number neurons in getLayersIterator

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