SampleApp.MainForm.SearchSolution C# (CSharp) Method

        void SearchSolution()
        {
            // create network
            DistanceNetwork network = new DistanceNetwork(2, networkSize * networkSize);

            // set random generators range
            foreach (var layer in network.Layers)
                foreach (var neuron in layer.Neurons)
                    neuron.RandGenerator = new UniformContinuousDistribution(
                        new Range(0, Math.Max(pointsPanel.ClientRectangle.Width, pointsPanel.ClientRectangle.Height)));

            // create learning algorithm
            SOMLearning trainer = new SOMLearning(network, networkSize, networkSize);

            // create map
            map = new int[networkSize, networkSize, 3];

            double fixedLearningRate = learningRate / 10;
            double driftingLearningRate = fixedLearningRate * 9;

            // iterations
            int i = 0;

            // loop
            while (!needToStop)
            {
                trainer.LearningRate = driftingLearningRate * (iterations - i) / iterations + fixedLearningRate;
                trainer.LearningRadius = (double)learningRadius * (iterations - i) / iterations;

                // run training epoch
                trainer.RunEpoch(trainingSet);

                // update map
                UpdateMap(network);

                // increase current iteration
                i++;

                // set current iteration's info
                SetText(currentIterationBox, i.ToString());

                // stop ?
                if (i >= iterations)
                    break;
            }

            // enable settings controls
            EnableControls(true);
        }