public int recall(int contextCode, double[] Pattern)
{
ARTModule.reSetRho(rho);
int code = -1; // Don't Know
LayerF2 contextNeurons = (LayerF2)ARTModule.contextField[contextCode];
object [,] artCluster = ARTModule.getCluster(contextCode, Pattern);
if ((int)artCluster[0, 1] == -1)
{
code = -1;
}
else
{
F2Neuron f2Neuron = (F2Neuron)contextNeurons[(int)artCluster[0, 1]];
f2Neuron.getMapFieldConnections();
ArrayList mapFieldConnections = f2Neuron.getMapFieldConnections();
IEnumerator mapFieldConnEnum = mapFieldConnections.GetEnumerator();
while (mapFieldConnEnum.MoveNext())
{
MapFieldConnection mapFieldConn = (MapFieldConnection)mapFieldConnEnum.Current;
if (mapFieldConn.getWeight() == 1)
{
MapFieldCategory category = mapFieldConn.getCategory();
code = category.getCode();
//break;
}
}
}
// code = mapField.getAssociatedCategory(contextNeurons, (int)artCluster[0, 1]);
return(code);
}
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);
}
}
}
}
public void saveNetworkOnFile(string path)
{
// Delete the file if it exists.
if (File.Exists(path))
{
File.Delete(path);
}
FileStream fs = File.Create(path);
string netConfig = "";
netConfig += "Rho " + this.rho + "\r\n";
netConfig += "RhoInc " + this.rhoIncrement + "\r\n";
netConfig += "Alpha " + this.alpha + "\r\n";
netConfig += "Beta " + this.beta + "\r\n";
netConfig += "CC " + this.complementCoding + "\r\n";
netConfig += "F1 " + this.ARTModule.F1.Count + "\r\n";
netConfig += "MFCategoryCount " + this.mapField.getCategoryCount() + "\r\n";
for (int catIndex = 0; catIndex < this.mapField.getCategoryCount(); catIndex++)
{
MapFieldCategory cat = this.mapField.getCategory(catIndex);
netConfig += cat.getCode() + "\r\n";
netConfig += cat.getName() + "\r\n";
}
netConfig += "ContextCount " + this.ARTModule.contextField.Count + "\r\n";
ICollection contextKeys = this.ARTModule.contextField.Keys;
IEnumerator contextKeysEnum = contextKeys.GetEnumerator();
while (contextKeysEnum.MoveNext())
{
int contextKey = Int32.Parse(contextKeysEnum.Current.ToString());
netConfig += "Context " + contextKey + "\r\n";
LayerF2 F2 = ((LayerF2)this.ARTModule.contextField[contextKey]);
netConfig += "F2Count " + F2.Count + "\r\n";
for (int f2Index = 0; f2Index < F2.Count; f2Index++)
{
netConfig += "Prototype\r\n";
double [] prototype = ((F2Neuron)F2[f2Index]).getProtoTypeCluster();
for (int i = 0; i < prototype.Length; i++)
{
netConfig += prototype[i] + "\t";
}
netConfig += "\r\n";
netConfig += "tdConnWs\r\n";
SynapticConnection[] conns = ((F2Neuron)F2[f2Index]).getConnections();
for (int connIndex = 0; connIndex < conns.Length; connIndex++)
{
netConfig += ((SynapticConnection)conns[connIndex]).getWeight() + "\t";
}
netConfig += "\r\n";
netConfig += "MFConns \r\n";
//for (int f2Index = 0; f2Index < F2.Count; f2Index++)
{
ArrayList mapFieldConns = ((F2Neuron)F2[f2Index]).getMapFieldConnections();
for (int mapFieldConnIndex = 0; mapFieldConnIndex < mapFieldConns.Count; mapFieldConnIndex++)
{
netConfig += ((MapFieldConnection)mapFieldConns[mapFieldConnIndex]).getWeight() + "\t";
}
netConfig += "\r\n";
}
}
}
AddText(fs, netConfig);
fs.Close();
}
