Esempio n. 1
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        public Backpropagation(Perceptron perceptron, Data.LearningParam param)
        {
            this.perceptron = perceptron;
            this.param = param;
            layers = perceptron.Size;

            int n = perceptron.MaxLayerSize;
            w = new double[layers, n, n];
            w1 = new double[layers, n, n];
            endthread = true;
        }
Esempio n. 2
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 public NetPage( frmMain frm,int nr, Hashtable inputData, Perceptron perceptron)
 {
     this.frm = frm;
     this.nr = nr;
     this.data = inputData;
     this.perceptron = perceptron;
     this.AutoScroll = true;
     comboBoxes = new List<ComboBox>();
     InitializeComponent();
     //setControls();
     initializeDataPanels();
     initializeRatios();
     backprop = new Backpropagation(perceptron, null);
 }
Esempio n. 3
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 /** Adds new network to network list.*/
 public int AddNetwork( Data.NetworkParam param )
 {
     Perceptron newNetwork = new Perceptron(param);
     netList.Add( newNetwork);
     return netList.Count - 1;
 }