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## L

label - Variable in class org.neuroph.core.learning.TrainingElement
  Label for this training element
LABELS_PLUGIN_NAME - Static variable in class org.neuroph.util.plugins.LabelsPlugin
LabelsPlugin - Class in org.neuroph.util.plugins
  Provides labeling of all neural network components
LabelsPlugin() - Constructor for class org.neuroph.util.plugins.LabelsPlugin
Layer - Class in org.neuroph.core
  Layer of neurons in a neural network.
Layer() - Constructor for class org.neuroph.core.Layer
  Creates an instance of empty Layer
Layer(int, NeuronProperties) - Constructor for class org.neuroph.core.Layer
  Creates an instance of Layer with the specified number of neurons with specified neuron properties
LayerFactory - Class in org.neuroph.util
  Provides methods to create instance of a Layer with specifed number of neurons and neuron's properties.
LayerFactory() - Constructor for class org.neuroph.util.LayerFactory
learn(TrainingSet) - Method in class org.neuroph.core.learning.IterativeLearning
learn(TrainingSet, int) - Method in class org.neuroph.core.learning.IterativeLearning
  Trains network for the specified training set and number of iterations
learn(TrainingSet) - Method in class org.neuroph.core.learning.LearningRule
  Override this method to implement specific learning procedures
learn(TrainingSet, double) - Method in class org.neuroph.core.learning.SupervisedLearning
  Trains network for the specified training set and number of iterations
learn(TrainingSet, double, int) - Method in class org.neuroph.core.learning.SupervisedLearning
  Trains network for the specified training set and number of iterations
learn(TrainingSet) - Method in class org.neuroph.core.NeuralNetwork
  Deprecated.
learn(TrainingSet) - Method in class org.neuroph.nnet.learning.HopfieldLearning
  Calculates weights for the hopfield net to learn the specified training set
learn(TrainingSet) - Method in class org.neuroph.nnet.learning.KohonenLearning
learningRate - Variable in class org.neuroph.core.learning.IterativeLearning
  Learning rate parametar
LearningRule - Class in org.neuroph.core.learning
  Base class for all neural network learning algorithms.
LearningRule() - Constructor for class org.neuroph.core.learning.LearningRule
  Creates new instance of learning rule
LearningRule(NeuralNetwork) - Constructor for class org.neuroph.core.learning.LearningRule
  Sets neural network for this learning rule
learnInNewThread(TrainingSet) - Method in class org.neuroph.core.NeuralNetwork
  Starts learning in a new thread to learn the specified training set, and immediately returns from method to the current thread execution
learnInNewThread(TrainingSet, LearningRule) - Method in class org.neuroph.core.NeuralNetwork
  Starts learning with specified learning rule in new thread to learn the specified training set, and immediately returns from method to the current thread execution
learnInSameThread(TrainingSet) - Method in class org.neuroph.core.NeuralNetwork
  Starts the learning in the current running thread to learn the specified training set, and returns from method when network is done learning
learnInSameThread(TrainingSet, LearningRule) - Method in class org.neuroph.core.NeuralNetwork
  Starts the learning with specified learning rule in the current running thread to learn the specified training set, and returns from method when network is done learning
learnPattern(SupervisedTrainingElement) - Method in class org.neuroph.core.learning.SupervisedLearning
  Trains network with the pattern from the specified training element
learnPattern(TrainingElement) - Method in class org.neuroph.core.learning.UnsupervisedLearning
  Trains network with the pattern from the specified training element
learnPattern(SupervisedTrainingElement) - Method in class org.neuroph.nnet.learning.SupervisedHebbianLearning
  Trains network with the pattern from the specified training element
Linear - Class in org.neuroph.core.transfer
  Linear neuron transfer function.
Linear() - Constructor for class org.neuroph.core.transfer.Linear
  Creates an instance of Linear transfer function
Linear(double) - Constructor for class org.neuroph.core.transfer.Linear
  Creates an instance of Linear transfer function with specified value for getSlope parametar.
Linear(Properties) - Constructor for class org.neuroph.core.transfer.Linear
  Creates an instance of Linear transfer function with specified properties
LMS - Class in org.neuroph.nnet.learning
  LMS learning rule for neural networks.
LMS() - Constructor for class org.neuroph.nnet.learning.LMS
  Creates new LMS learning rule
LMS(NeuralNetwork) - Constructor for class org.neuroph.nnet.learning.LMS
  Creates new LMS learning rule for specified neural network
load(String) - Static method in class org.neuroph.core.learning.TrainingSet
  Loads training set from the specified file
load(String) - Static method in class org.neuroph.core.NeuralNetwork
  Loads neural network from the specified file.
load(InputStream) - Static method in class org.neuroph.core.NeuralNetwork
  Loads neural network from the specified InputStream.
loadAndCleanImage(File) - Static method in class org.neuroph.contrib.ocr.OcrUtils
  This method loads the input Image and returns the cleaned version
loadImage(File) - Static method in class org.neuroph.contrib.ocr.OcrUtils
  Loads image from the file.

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