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## I

IACFunction - Class in org.neuroph.contrib
  Transfer function for Neuron in Interactive Activation Neural Network.
IACFunction() - Constructor for class org.neuroph.contrib.IACFunction
IACNetwork - Class in org.neuroph.contrib
  Interactive Activation Controller neural network.
IACNetwork() - Constructor for class org.neuroph.contrib.IACNetwork
  Constructs a new Interactive Activation Neural Network
IACNeuron - Class in org.neuroph.contrib
  Neuron for Interactive Activation Neural Network.
IACNeuron() - Constructor for class org.neuroph.contrib.IACNeuron
ImageRecognitionHelper - Class in org.neuroph.contrib.imgrec
  Provides methods to create neural network and training set for image recognition.
ImageRecognitionHelper() - Constructor for class org.neuroph.contrib.imgrec.ImageRecognitionHelper
ImageRecognitionPlugin - Class in org.neuroph.contrib.imgrec
  Provides image recognition specific properties like sampling resolution, and easy to use image recognition interface for neural network.
ImageRecognitionPlugin(Dimension) - Constructor for class org.neuroph.contrib.imgrec.ImageRecognitionPlugin
  Constructor
ImageRecognitionPlugin(Dimension, ColorMode) - Constructor for class org.neuroph.contrib.imgrec.ImageRecognitionPlugin
  Constructor
ImageRecognitionSample - Class in org.neuroph.contrib.imgrec
  This sample shows how to use the image recognition neural network in your applications.
ImageRecognitionSample() - Constructor for class org.neuroph.contrib.imgrec.ImageRecognitionSample
ImageSampler - Class in org.neuroph.contrib.imgrec
  This class uses a given Robot object to sample images from the screen at an arbitrary sampling resolution.
ImageSampler() - Constructor for class org.neuroph.contrib.imgrec.ImageSampler
ImageSizeMismatchException - Exception in org.neuroph.contrib.imgrec
  This exception is thrown when image vector size is different than input vector size which is accepted by neural network
ImageSizeMismatchException() - Constructor for exception org.neuroph.contrib.imgrec.ImageSizeMismatchException
ImageSizeMismatchException(String) - Constructor for exception org.neuroph.contrib.imgrec.ImageSizeMismatchException
ImageSizeMismatchException(String, Throwable) - Constructor for exception org.neuroph.contrib.imgrec.ImageSizeMismatchException
ImageSizeMismatchException(Throwable) - Constructor for exception org.neuroph.contrib.imgrec.ImageSizeMismatchException
IMG_REC_PLUGIN_NAME - Static variable in class org.neuroph.contrib.imgrec.ImageRecognitionPlugin
importFromArray(double[], int, int) - Static method in class org.neuroph.samples.stockmarket.StockTrainingSetImport
  Creates and returns training set for stock market prediction using the provided data from array
importFromFile(String, int, int, String) - Static method in class org.neuroph.util.TrainingSetImport
inc(double) - Method in class org.neuroph.core.Weight
  Increases the weight for the specified amount
indexOf(Neuron) - Method in class org.neuroph.core.Layer
  Returns the index position in layer for the specified neuron
indexOf(Layer) - Method in class org.neuroph.core.NeuralNetwork
  Returns index position of the specified layer
initializeWeights(double) - Method in class org.neuroph.core.Layer
  Initialize connection weights for the whole layer to to specified value
initializeWeights(Random) - Method in class org.neuroph.core.Layer
  Initialize connection weights for the whole layer using a random number generator
initializeWeights(double, double) - Method in class org.neuroph.core.Layer
initializeWeights(double) - Method in class org.neuroph.core.NeuralNetwork
  Initialize connection weights for the whole network to a value
initializeWeights(Random) - Method in class org.neuroph.core.NeuralNetwork
  Initialize connection weights for the whole network using a random number generator
initializeWeights(double, double) - Method in class org.neuroph.core.NeuralNetwork
initializeWeights(double) - Method in class org.neuroph.core.Neuron
  Initialize weights for all input connections to specified value
initializeWeights(Random) - Method in class org.neuroph.core.Neuron
  Initialize weights for all input connections to using random number generator
initializeWeights(double, double) - Method in class org.neuroph.core.Neuron
  Initialize weights for all input connections with random value within specified interval
input - Variable in class org.neuroph.core.learning.TrainingElement
  Input vector for this training element
inputConnections - Variable in class org.neuroph.core.Neuron
  Collection of neuron's input connections (connections to this neuron)
InputFunction - Class in org.neuroph.core.input
  Neuron's input function.
InputFunction() - Constructor for class org.neuroph.core.input.InputFunction
  Creates an instance of WeightedSum input function by default.
InputFunction(WeightsFunction, SummingFunction) - Constructor for class org.neuroph.core.input.InputFunction
  Creates an instance of input function with specified weights and summing function
inputFunction - Variable in class org.neuroph.core.Neuron
  Input function for this neuron
InputOutputNeuron - Class in org.neuroph.nnet.comp
  Provides behaviour specific for neurons which act as input and the output neurons within the same layer.
InputOutputNeuron() - Constructor for class org.neuroph.nnet.comp.InputOutputNeuron
  Creates an instance of neuron for Hopfield network
InputOutputNeuron(InputFunction, TransferFunction) - Constructor for class org.neuroph.nnet.comp.InputOutputNeuron
  Creates an instance of neuron for Hopfield network with specified input and transfer functions
Instar - Class in org.neuroph.nnet
  Instar neural network with Instar learning rule.
Instar(int) - Constructor for class org.neuroph.nnet.Instar
  Creates new Instar with specified number of input neurons.
InstarLearning - Class in org.neuroph.nnet.learning
  Hebbian-like learning rule for Instar network.
InstarLearning() - Constructor for class org.neuroph.nnet.learning.InstarLearning
  Creates new instance of InstarLearning algorithm
InstarLearning(NeuralNetwork) - Constructor for class org.neuroph.nnet.learning.InstarLearning
  Creates new instance of InstarLearning algorithm for the specified neural network.
Intensity - Class in org.neuroph.core.input
  Calculates the input vector intensity.
Intensity() - Constructor for class org.neuroph.core.input.Intensity
isCompeting() - Method in class org.neuroph.nnet.comp.CompetitiveNeuron
  Retruns true if this neuron is in competing mode, false otherwise
isEmpty() - Method in class org.neuroph.core.learning.TrainingSet
  Returns true if training set is empty, false otherwise
isPausedLearning() - Method in class org.neuroph.core.learning.IterativeLearning
  Returns true if learning thread is paused, false otherwise
isStopped() - Method in class org.neuroph.core.learning.LearningRule
  Returns true if learning has stopped, false otherwise
iterationsLimited - Variable in class org.neuroph.core.learning.IterativeLearning
  Flag for indicating if the training iteration number is limited
IterativeLearning - Class in org.neuroph.core.learning
  Base class for all iterative learning algorithms.
IterativeLearning() - Constructor for class org.neuroph.core.learning.IterativeLearning
  Creates new instannce of IterativeLearning learning algorithm
IterativeLearning(NeuralNetwork) - Constructor for class org.neuroph.core.learning.IterativeLearning
  Creates new instannce of IterativeLearning learning algorithm for the specified neural network.
iterator() - Method in class org.neuroph.core.learning.TrainingSet
  Returns Iterator for iterating training elements collection

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