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
示例#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
				this.BeginInvoke ( new MethodInvoker (() => currentIterationBox.Text = i.ToString()));

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

			// enable settings controls
			EnableControls( true );
		}