Package org.neuroph.nnet.learning

Examples of org.neuroph.nnet.learning.BackPropagation


                NeuronProperties neuronProperties = new NeuronProperties(transferFunctionType, useBias);
    MultiLayerPerceptron nnet = new MultiLayerPerceptron(layerSizes, neuronProperties);
               
                // set learning rule
                if (learningRule.getName().equals(BackPropagation.class.getName()))  {
                    nnet.setLearningRule(new BackPropagation());
                } else if (learningRule.getName().equals(MomentumBackpropagation.class.getName())) {
                    nnet.setLearningRule(new MomentumBackpropagation());
                } else if (learningRule.getName().equals(DynamicBackPropagation.class.getName())) {
                    nnet.setLearningRule(new DynamicBackPropagation());
                }
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