public int learn(int contextCode, double[] Pattern, int categoryCode, string categoryName)
{
if (!mapField.categoryExists(categoryCode))
{
mapField.addNewCategory(categoryName, categoryCode);
}
// Initialize Rho with System Rho
ARTModule.reSetRho(rho);
double rhoInc = 0.0;
Repeater:
rhoInc += rhoIncrement;
int f2NeuronCountBefore = 0;
ConSelFAM.NET.LayerF2 f2Neurons = (ConSelFAM.NET.LayerF2)ARTModule.contextField[contextCode]; // just to initialize
//load context
if (ARTModule.contextField.ContainsKey(contextCode))
{
f2Neurons = (ConSelFAM.NET.LayerF2)ARTModule.contextField[contextCode];
f2NeuronCountBefore = f2Neurons.Count;
}
object [,] artCluster = ARTModule.feedInput(contextCode, Pattern, categoryCode);
int J = (int)artCluster[0, 1];
double[] ZJ = (double[])artCluster[0, 0];
f2Neurons = (ConSelFAM.NET.LayerF2)ARTModule.contextField[contextCode];
int f2NeuronCountAfter = f2Neurons.Count;
if (f2NeuronCountBefore != f2NeuronCountAfter)
{
// THIS MEANS THAT NEW F2 NEURON IS ADDED TO THIS CONTEXT
MapFieldCategory cat = mapField.getCategory(categoryCode);
cat.addConnection(((F2Neuron)f2Neurons[J]));
}
return(mapField.getAssociatedCategory((F2Neuron)f2Neurons[J]));
}
public ConSelfARTMAP(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));
if (CC)
{
this.ARTModule = new ConSelFAM.NET.ConSelfART(F1Count / 2, -1, this.rho, this.alpha, this.beta, this.complementCoding);
}
else
{
this.ARTModule = new ConSelFAM.NET.ConSelfART(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"));
int F1count = this.ARTModule.F1.Count;
for (int j = 0; j < F1count; 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 catcode = data.Substring(0, data.IndexOf("\r")).Trim();
int code = int.Parse(catcode);
mapField.getCategory(code).addConnection((F2Neuron)F2Layer[f2NeuronIndex]);
}
}
}
}