Documentation of 'org.neuroph.contrib.bpbench.BackpropagationTraining' Java class
BackpropagationTraining
org.neuroph.contrib.bpbench

Class BackpropagationTraining



  • public class BackpropagationTraining
    extends AbstractTraining
    Class that set up neural network with backpropagation learning rule and predefined settings
    • Constructor Detail

      • BackpropagationTraining

        public BackpropagationTraining(NeuralNetwork neuralNet,
                                       DataSet dataset,
                                       TrainingSettings settings)
        Create instance of a training using predefined neural network and given settings
        Parameters:
        neuralNet -
        dataset -
        settings -
      • BackpropagationTraining

        public BackpropagationTraining(DataSet dataset,
                                       TrainingSettings settings)
        Create instance of a training using given settings and create neural network from that settings
        Parameters:
        dataset -
        settings -
    • Method Detail

      • testNeuralNet

        public void testNeuralNet()
        Method that set up learning rule with given settings, learns dataset and creates statistics from results of the test
        Specified by:
        testNeuralNet in class AbstractTraining
      • setParameters

        public LearningRule setParameters()
        Create instance of learning rule and setup given parameters
        Specified by:
        setParameters in class AbstractTraining
        Returns:
        returns learning rule with predefined parameters

DMelt 3.0 © DataMelt by jWork.ORG

You see the box below because you did not login.