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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
IMG_REC_PLUGIN_NAME
- Static variable in class org.neuroph.contrib.imgrec.
ImageRecognitionPlugin
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
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
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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