public void CalculateWeights(BoltzmannMachine network)
{
int n1, n2, n3, n4;
int i, j;
int predN3, succN3;
double weight;
for (n1 = 0; n1 < NUM_CITIES; n1++)
{
for (n2 = 0; n2 < NUM_CITIES; n2++)
{
i = n1*NUM_CITIES + n2;
for (n3 = 0; n3 < NUM_CITIES; n3++)
{
for (n4 = 0; n4 < NUM_CITIES; n4++)
{
j = n3*NUM_CITIES + n4;
weight = 0;
if (i != j)
{
predN3 = (n3 == 0 ? NUM_CITIES - 1 : n3 - 1);
succN3 = (n3 == NUM_CITIES - 1 ? 0 : n3 + 1);
if ((n1 == n3) || (n2 == n4))
weight = -gamma;
else if ((n1 == predN3) || (n1 == succN3))
weight = -distance[n2][n4];
}
network.SetWeight(i, j, weight);
}
}
network.Threshold[i] = (-gamma/2);
}
}
}
private void ValidateHopfield(BoltzmannMachine network)
{
network.Run();// at least see if it can run without an exception
Assert.AreEqual(4, network.NeuronCount);
Assert.AreEqual(4, network.CurrentState.Count);
Assert.AreEqual(16, network.Weights.Length);
Assert.AreEqual(1.0, network.GetWeight(1, 1));
Assert.AreEqual(2.0, network.Threshold[2]);
}
public void TestPersistSerial()
{
BoltzmannMachine network = new BoltzmannMachine(4);
network.SetWeight(1, 1, 1);
network.Threshold[2] = 2;
SerializeObject.Save(SERIAL_FILENAME.ToString(), network);
BoltzmannMachine network2 = (BoltzmannMachine)SerializeObject.Load(SERIAL_FILENAME.ToString());
ValidateHopfield(network2);
}
public void TestPersistEG()
{
BoltzmannMachine network = new BoltzmannMachine(4);
network.SetWeight(1, 1, 1);
network.Threshold[2] = 2;
EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
BoltzmannMachine network2 = (BoltzmannMachine)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
ValidateHopfield(network2);
}
/// <inheritdoc/>
public Object Read(Stream mask0)
{
var result = new BoltzmannMachine();
var ins0 = new EncogReadHelper(mask0);
EncogFileSection section;
while ((section = ins0.ReadNextSection()) != null)
{
if (section.SectionName.Equals("BOLTZMANN")
&& section.SubSectionName.Equals("PARAMS"))
{
IDictionary<String, String> paras = section.ParseParams();
EngineArray.PutAll(paras, result.Properties);
}
if (section.SectionName.Equals("BOLTZMANN")
&& section.SubSectionName.Equals("NETWORK"))
{
IDictionary<String, String> p = section.ParseParams();
result.Weights = NumberList.FromList(CSVFormat.EgFormat,
(p[PersistConst.Weights]));
result.SetCurrentState(NumberList.FromList(CSVFormat.EgFormat,
(p[PersistConst.Output])));
result.NeuronCount = EncogFileSection.ParseInt(p,
PersistConst.NeuronCount);
result.Threshold = NumberList.FromList(CSVFormat.EgFormat,
(p[PersistConst.Thresholds]));
result.AnnealCycles = EncogFileSection.ParseInt(p,
BoltzmannMachine.ParamAnnealCycles);
result.RunCycles = EncogFileSection.ParseInt(p,
BoltzmannMachine.ParamRunCycles);
result.Temperature = EncogFileSection.ParseDouble(p,
PersistConst.Temperature);
}
}
return result;
}
/// <inheritdoc/>
public Object Read(Stream mask0)
{
var result = new BoltzmannMachine();
var ins0 = new EncogReadHelper(mask0);
EncogFileSection section;
while ((section = ins0.ReadNextSection()) != null)
{
if (section.SectionName.Equals("BOLTZMANN") &&
section.SubSectionName.Equals("PARAMS"))
{
IDictionary <String, String> paras = section.ParseParams();
EngineArray.PutAll(paras, result.Properties);
}
if (section.SectionName.Equals("BOLTZMANN") &&
section.SubSectionName.Equals("NETWORK"))
{
IDictionary <String, String> p = section.ParseParams();
result.Weights = NumberList.FromList(CSVFormat.EgFormat,
(p[PersistConst.Weights]));
result.SetCurrentState(NumberList.FromList(CSVFormat.EgFormat,
(p[PersistConst.Output])));
result.NeuronCount = EncogFileSection.ParseInt(p,
PersistConst.NeuronCount);
result.Threshold = NumberList.FromList(CSVFormat.EgFormat,
(p[PersistConst.Thresholds]));
result.AnnealCycles = EncogFileSection.ParseInt(p,
BoltzmannMachine.ParamAnnealCycles);
result.RunCycles = EncogFileSection.ParseInt(p,
BoltzmannMachine.ParamRunCycles);
result.Temperature = EncogFileSection.ParseDouble(p,
PersistConst.Temperature);
}
}
return(result);
}
/// <summary>
/// Generate the network.
/// </summary>
public IMLMethod Generate()
{
var boltz = new BoltzmannMachine(_neuronCount);
boltz.Temperature = _temperature;
boltz.RunCycles = _runCycles;
boltz.AnnealCycles = _annealCycles;
return boltz;
}
public object Read(Stream mask0)
{
EncogFileSection section;
IDictionary<string, string> dictionary2;
BoltzmannMachine machine = new BoltzmannMachine();
EncogReadHelper helper = new EncogReadHelper(mask0);
Label_0034:
if ((section = helper.ReadNextSection()) != null)
{
goto Label_012B;
}
return machine;
Label_00A3:
machine.Threshold = NumberList.FromList(CSVFormat.EgFormat, dictionary2["thresholds"]);
machine.AnnealCycles = EncogFileSection.ParseInt(dictionary2, "annealCycles");
machine.RunCycles = EncogFileSection.ParseInt(dictionary2, "runCycles");
if (0 == 0)
{
machine.Temperature = EncogFileSection.ParseDouble(dictionary2, "temperature");
goto Label_0034;
}
goto Label_0142;
Label_00C4:
if (section.SectionName.Equals("BOLTZMANN") && section.SubSectionName.Equals("NETWORK"))
{
dictionary2 = section.ParseParams();
machine.Weights = NumberList.FromList(CSVFormat.EgFormat, dictionary2["weights"]);
}
else
{
goto Label_0034;
}
machine.SetCurrentState(NumberList.FromList(CSVFormat.EgFormat, dictionary2["output"]));
machine.NeuronCount = EncogFileSection.ParseInt(dictionary2, "neurons");
goto Label_00A3;
Label_012B:
if (!section.SectionName.Equals("BOLTZMANN"))
{
goto Label_00C4;
}
Label_0142:
if (section.SubSectionName.Equals("PARAMS"))
{
EngineArray.PutAll<string, string>(section.ParseParams(), machine.Properties);
if (0 == 0)
{
goto Label_00C4;
}
goto Label_012B;
}
if (0 != 0)
{
goto Label_0142;
}
if (2 == 0)
{
if (-1 == 0)
{
goto Label_00A3;
}
if (8 != 0)
{
goto Label_012B;
}
goto Label_0142;
}
goto Label_00C4;
}
