public void addNewCategory(F2Neuron f2Neuron, string categoryName, int code)
{
MapFieldCategory categoryNode = new MapFieldCategory(categoryName, code);
categoryNode.addConnection(f2Neuron);
categories.Add(categoryNode);
}
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 = (MapFieldCategory)this.mapField.categories[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 += "CatCode\r\n";
//for (int f2Index = 0; f2Index < F2.Count; f2Index++)
{
MapFieldConnection mapFieldConn = ((F2Neuron)F2[f2Index]).getMapFieldConnection();
netConfig += mapFieldConn.getCategory().getCode() + "\r\n";
}
}
}
AddText(fs, netConfig);
fs.Close();
}
public MapFieldConnection(MapFieldCategory category, ConSelFAM.NET.F2Neuron f2Neuron, int weight)
{
this.category = category;
this.f2Neuron = f2Neuron;
// this.f2Neuron.addMapFieldConnection(this);
this.f2Neuron.setMapFieldConnection(this);
this.weight = weight;
}
// public MapFieldCategory getCategory(int index) {
// return (MapFieldCategory)categories[index];
// }
public MapFieldCategory getCategory(int catCode)
{
MapFieldCategory cate = null;
foreach (MapFieldCategory cat in categories)
{
if (catCode == cat.getCode())
{
cate = cat;
}
}
return(cate);
}
//public int recall(int contextCode, double[] Pattern) // THIS METHOD ASSUMES THAT EACH F2 NODE HAS CONNECTIONS WITH ALL MAPFIELD NODES
//{
// 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 int recall(int contextCode, double[] Pattern) //THIS METHOD ASSUMES THAT EACH F2 NODE IS CONNECTED WITH ONLY ONE MAPFIELD NODE
{
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]];
MapFieldConnection mfConn = f2Neuron.getMapFieldConnection();
MapFieldCategory category = mfConn.getCategory();
code = category.getCode();
}
// code = mapField.getAssociatedCategory(contextNeurons, (int)artCluster[0, 1]);
return(code);
}
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 void addNewCategory(string categoryName, int code) /*This method is to be called by FuzzyArtMap(string path) method*/
{
MapFieldCategory categoryNode = new MapFieldCategory(categoryName, code);
categories.Add(categoryNode);
}
