Compute() публичный закрытый Метод

Note: for Hopfield networks, you will usually want to call the "run" method to compute the output. This method can be used to copy the input data to the current state. A single iteration is then run, and the new current state is returned.
public final Compute ( IMLData input ) : IMLData
input IMLData The input pattern.
Результат IMLData
Документация по классу HopfieldNetwork
Пример #1
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        public void Execute(IExampleInterface app)
        {
            this.app = app;

            // Create the neural network.
            BasicLayer hopfield;
            var network = new HopfieldNetwork(4);

            // This pattern will be trained
            bool[] pattern1 = {true, true, false, false};
            // This pattern will be presented
            bool[] pattern2 = {true, false, false, false};
            IMLData result;

            var data1 = new BiPolarMLData(pattern1);
            var data2 = new BiPolarMLData(pattern2);
            var set = new BasicMLDataSet();
            set.Add(data1);

            // train the neural network with pattern1
            app.WriteLine("Training Hopfield network with: "
                          + FormatBoolean(data1));

            network.AddPattern(data1);
            // present pattern1 and see it recognized
            result = network.Compute(data1);
            app.WriteLine("Presenting pattern:" + FormatBoolean(data1)
                          + ", and got " + FormatBoolean(result));
            // Present pattern2, which is similar to pattern 1. Pattern 1
            // should be recalled.
            result = network.Compute(data2);
            app.WriteLine("Presenting pattern:" + FormatBoolean(data2)
                          + ", and got " + FormatBoolean(result));
        }