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## 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

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