Run() public method

Runs learning iteration.

The method runs one learning iterations - finds winner neuron (the neuron which has weights with values closest to the specified input vector) and updates its weight (as well as weights of neighbor neurons) in the way to decrease difference with the specified input vector.

public Run ( double input ) : double
input double Input vector.
return double
SOMLearning Class Documentation
Example #1
0
        // Worker thread
        void SearchSolution()
        {
            // create learning algorithm
            SOMLearning trainer = new SOMLearning(network);

            // input
            double[] input = new double[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)radius * (iterations - i) / iterations;

                input[0] = rand.Next(256);
                input[1] = rand.Next(256);
                input[2] = rand.Next(256);

                trainer.Run(input);

                // update map once per 50 iterations
                if ((i % 10) == 9)
                {
                    UpdateMap();
                }

                // increase current iteration
                i++;

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

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

            // enable settings controls
            EnableControls(true);
        }