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## A

Adaline - Class in org.neuroph.nnet
  Adaline neural network architecture with LMS learning rule.
Adaline(int) - Constructor for class org.neuroph.nnet.Adaline
  Creates new Adaline network with specified number of neurons in input layer
addElement(TrainingElement) - Method in class org.neuroph.core.learning.TrainingSet
  Adds new training element to this training set
addInputConnection(Connection) - Method in class org.neuroph.core.Neuron
  Adds the specified input connection
addInputConnection(Neuron) - Method in class org.neuroph.core.Neuron
  Adds input connection from specified neuron
addInputConnection(Neuron, double) - Method in class org.neuroph.core.Neuron
  Adds input connection with the given weight, from given neuron
addInputConnection(Connection) - Method in class org.neuroph.nnet.comp.BiasNeuron
addInputConnection(Neuron, double) - Method in class org.neuroph.nnet.comp.BiasNeuron
addInputConnection(Neuron) - Method in class org.neuroph.nnet.comp.BiasNeuron
addInputConnection(Connection) - Method in class org.neuroph.nnet.comp.CompetitiveNeuron
  Adds input connection for this competitive neuron
addLayer(Layer) - Method in class org.neuroph.core.NeuralNetwork
  Adds layer to neural network
addLayer(int, Layer) - Method in class org.neuroph.core.NeuralNetwork
  Adds layer to specified index position in network
addNetwork(NeuralNetwork) - Method in class org.neuroph.nnet.ModularNetwork
  Adds neural network
addNeuron(Neuron) - Method in class org.neuroph.core.Layer
  Adds specified neuron to this layer
addNeuron(int, Neuron) - Method in class org.neuroph.core.Layer
  Adds specified neuron to this layer,at specified index position
addOutputConnection(Connection) - Method in class org.neuroph.core.Neuron
  Adds the specified output connection
addPlugin(PluginBase) - Method in class org.neuroph.core.NeuralNetwork
  Adds plugin to neural network
adjustLearningRate() - Method in class org.neuroph.nnet.learning.DynamicBackPropagation
adjustMomentum() - Method in class org.neuroph.nnet.learning.DynamicBackPropagation
adjustOutputNeurons(Vector<Double>) - Method in class org.neuroph.nnet.learning.SigmoidDeltaRule
  This method implements weights update procedure for the output neurons
adjustWeights() - Method in class org.neuroph.core.learning.UnsupervisedLearning
  This method implements the weight adjustment
adjustWeights() - Method in class org.neuroph.nnet.learning.CompetitiveLearning
  Adjusts weights for the winning neuron
adjustWeights() - Method in class org.neuroph.nnet.learning.UnsupervisedHebbianLearning
  Adjusts weights for the output neurons
And - Class in org.neuroph.core.input
  Performs logic AND operation on input vector.
And() - Constructor for class org.neuroph.core.input.And

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