AForge.Neuro.Learning.BackPropagationLearning.UpdateNetwork C# (CSharp) Метод

        private void UpdateNetwork( )
        {
            // current neuron
            ActivationNeuron neuron;
            // current layer
            Layer layer;
            // layer's weights updates
            double[][] layerWeightsUpdates;
            // layer's thresholds updates
            double[] layerThresholdUpdates;
            // neuron's weights updates
            double[] neuronWeightUpdates;

            // for each layer of the network
            for ( int i = 0; i < network.Layers.Length; i++ )
            {
                layer = network.Layers[i];
                layerWeightsUpdates = weightsUpdates[i];
                layerThresholdUpdates = thresholdsUpdates[i];

                // for each neuron of the layer
                for ( int j = 0; j < layer.Neurons.Length; j++ )
                {
                    neuron = layer.Neurons[j] as ActivationNeuron;
                    neuronWeightUpdates = layerWeightsUpdates[j];

                    // for each weight of the neuron
                    for ( int k = 0; k < neuron.Weights.Length; k++ )
                    {
                        // update weight
                        neuron.Weights[k] += neuronWeightUpdates[k];
                    }
                    // update treshold
                    neuron.Threshold += layerThresholdUpdates[j];
                }
            }
        }
    }