Beispiel #1
0
 public FuzzyARTMAP(int inputComponentCount, double initialRho, double rhoInc, double alpha, double beta, bool complementCoding, bool delayUpdate)
 {
     ARTModule = new ContextAwareFuzzyART.NET.ContextAwareFuzzyART(inputComponentCount, -1, initialRho, alpha, beta, complementCoding);
     ARTModule.delayWeightUpdates(delayUpdate);
     mapField = new MAPField();
     if (complementCoding)
     {
         ARTModule.F1 = new LayerF1(2 * inputComponentCount);
     }
     else
     {
         ARTModule.F1 = new LayerF1(inputComponentCount);
     }
     rho                   = initialRho;
     rhoIncrement          = rhoInc;
     this.complementCoding = complementCoding;
     this.alpha            = alpha;
     this.beta             = beta;
 }
Beispiel #2
0
        public FuzzyARTMAP(string path)
        {
            string data = "";

            if (netConfigFound(path))
            {
                try
                {
                    System.IO.StreamReader reader = new System.IO.StreamReader(path);
                    data = reader.ReadToEnd();
                    reader.Close();
                }
                catch (Exception ioerror)
                {
                    Console.Out.WriteLine(ioerror.ToString());
                    return;
                } // cath ends
            }
            //if (data.Contains("Rho")) POCKET PC .NET DO NOT SUPPORT String.Contains() Method
            {
                float rho = float.Parse(data.Substring(4, data.IndexOf("\r") - (4)));
                this.rho = rho;
                data     = data.Substring(data.IndexOf("\r") + 2);
            }
            {
                float rhoIncrement = float.Parse(data.Substring(7, data.IndexOf("\r") - 7));
                this.rhoIncrement = rhoIncrement;
                data = data.Substring(data.IndexOf("\r") + 2);
            }
            //if (data.Contains("Alpha"))
            {
                float alpha = float.Parse(data.Substring(5, data.IndexOf("\r") - 5));
                this.alpha = alpha;
                data       = data.Substring(data.IndexOf("\r") + 2);
            }
            //if (data.Contains("Beta"))
            {
                float beta = float.Parse(data.Substring(4, data.IndexOf("\r") - 4));
                this.beta = beta;
                data      = data.Substring(data.IndexOf("\r") + 2);
            }
            //if (data.Contains("CC"))
            {
                bool CC = bool.Parse(data.Substring(2, data.IndexOf("\r") - 2));
                this.complementCoding = CC;
                data = data.Substring(data.IndexOf("\r") + 2);
            }
            //if (data.Contains("F1"))

            {
                int F1Count = int.Parse(data.Substring(2, data.IndexOf("\r") - 2));
                this.ARTModule = new ContextAwareFuzzyART.NET.ContextAwareFuzzyART(F1Count, -1, this.rho, this.alpha, this.beta, this.complementCoding);
                data           = data.Substring(data.IndexOf("\r") + 2);
            }
            {
                int MFCategoryCount = Int32.Parse(data.Substring(16, data.IndexOf("\r") - 16)); //16 characters in 'MFCategoryCount '
                data          = data.Substring(data.IndexOf("\r") + 2);
                this.mapField = new MAPField();
                for (int i = 0; i < MFCategoryCount; i++)
                {
                    int catCode = Int32.Parse(data.Substring(0, data.IndexOf("\r")));
                    data = data.Substring(data.IndexOf("\r") + 2);
                    string catName = data.Substring(0, data.IndexOf("\r"));
                    data = data.Substring(data.IndexOf("\r") + 2);
                    this.mapField.addNewCategory(catName, catCode);
                }
                int contextCount = Int32.Parse(data.Substring(13, data.IndexOf("\r") - 13)); //13 characters in 'ContextCount '
                data = data.Substring(data.IndexOf("\r") + 2);
                for (int contextIndex = 0; contextIndex < contextCount; contextIndex++)
                {
                    int     contextCode = Int32.Parse(data.Substring(8 /*7 characters in 'Context '*/, data.IndexOf("\r") - 8));
                    LayerF2 F2Layer     = new LayerF2();
                    this.ARTModule.contextField.Add(contextCode, F2Layer);
                    data = data.Substring(data.IndexOf("\r") + 2);
                    int F2Count = 0;
                    //if (data.Contains("F2"))
                    F2Count = int.Parse(data.Substring(8 /*8 characters in 'F2Count '*/, data.IndexOf("\r") - 8));
                    data    = data.Substring(data.IndexOf("\r") + 2);
                    for (int i = 0; i < F2Count; i++)
                    {
                        // Parse and set F2 Neuron Prototype
                        double[] prototype = new double[this.ARTModule.F1.Count];
                        data = data.Substring(data.IndexOf("\r") + 2);
                        string pt = data.Substring(0, data.IndexOf("\r"));
                        for (int j = 0; j < this.ARTModule.F1.Count; j++)
                        {
                            prototype[j] = double.Parse(pt.Substring(0, pt.IndexOf("\t")).Trim());
                            if (j < (this.ARTModule.F1.Count - 1))
                            {
                                pt = pt.Substring(pt.IndexOf("\t") + 1);
                            }
                        }
                        data = data.Substring(data.IndexOf("\r") + 2);
                        data = data.Substring(data.IndexOf("\r") + 2);//discard tdConnWs word from data string
                        // Parse and set tdConnection Weights
                        double[] weights = new double[this.ARTModule.F1.Count];
                        string   ws      = data.Substring(0, data.IndexOf("\r"));
                        for (int j = 0; j < this.ARTModule.F1.Count; j++)
                        {
                            weights[j] = double.Parse(ws.Substring(0, ws.IndexOf("\t")).Trim());
                            if (j < (this.ARTModule.F1.Count - 1))
                            {
                                ws = ws.Substring(ws.IndexOf("\t") + 1);
                            }
                        }
                        data = data.Substring(data.IndexOf("\r") + 2);

                        int f2NeuronIndex = F2Layer.AddF2Neuron((LayerF1)this.ARTModule.F1, weights, prototype);
                        // Parse and set map field connection weights
                        data = data.Substring(data.IndexOf("\r") + 2);
                        string mfConnWs = data.Substring(0, data.IndexOf("\r"));
                        for (int catIndex = 0; catIndex < this.mapField.getCategoryCount(); catIndex++)
                        {
                            int weight = int.Parse(mfConnWs.Substring(0, mfConnWs.IndexOf("\t")).Trim());
                            MapFieldConnection mfConn = new MapFieldConnection(this.mapField.getCategory(catIndex), (F2Neuron)F2Layer[f2NeuronIndex], weight);
                            this.mapField.getCategory(catIndex).addConnection(mfConn);
                            mfConnWs = mfConnWs.Substring(mfConnWs.IndexOf("\t") + 1);
                            //((F2Neuron)F2Layer[f2NeuronIndex]).addMapFieldConnection((object)mfConn);
                        }
                        data = data.Substring(data.IndexOf("\r") + 2);
                    }
                }
            }
        }