Encog.Neural.Thermal.HopfieldNetwork.Compute C# (CSharp) Method

        public override sealed IMLData Compute(IMLData input)
        {
            var result = new BiPolarMLData(input.Count);
            EngineArray.ArrayCopy(input.Data, CurrentState.Data);
            Run();

            for (int i = 0; i < CurrentState.Count; i++)
            {
                result.SetBoolean(i,
                                  BiPolarUtil.Double2bipolar(CurrentState[i]));
            }
            EngineArray.ArrayCopy(CurrentState.Data, result.Data);
            return result;
        }

        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));
        }