private BAMNetwork Create()
{
var network = new BAMNetwork(6, 3);
network.WeightsF1ToF2[1, 1] = 2.0;
network.WeightsF2ToF1[2, 2] = 3.0;
return network;
}
public object Read(Stream mask0)
{
EncogFileSection section;
BAMNetwork network = new BAMNetwork();
EncogReadHelper helper = new EncogReadHelper(mask0);
goto Label_002F;
Label_000B:
if (!section.SectionName.Equals("BAM"))
{
goto Label_002F;
}
Label_001D:
if (section.SubSectionName.Equals("NETWORK"))
{
IDictionary<string, string> paras = section.ParseParams();
network.F1Count = EncogFileSection.ParseInt(paras, "f1Count");
network.F2Count = EncogFileSection.ParseInt(paras, "f2Count");
if (0 != 0)
{
goto Label_000B;
}
network.WeightsF1ToF2 = EncogFileSection.ParseMatrix(paras, "weightsF1F2");
if (0 != 0)
{
goto Label_00C2;
}
network.WeightsF2ToF1 = EncogFileSection.ParseMatrix(paras, "weightsF2F1");
}
Label_002F:
if ((section = helper.ReadNextSection()) != null)
{
if (!section.SectionName.Equals("BAM"))
{
goto Label_000B;
}
}
else
{
return network;
}
Label_00AB:
if (section.SubSectionName.Equals("PARAMS"))
{
EngineArray.PutAll<string, string>(section.ParseParams(), network.Properties);
}
else
{
goto Label_000B;
}
Label_00C2:
if (0 != 0)
{
goto Label_00AB;
}
if (15 != 0)
{
goto Label_000B;
}
goto Label_001D;
}
/// <inheritdoc/>
public Object Read(Stream mask0)
{
var result = new BAMNetwork();
var ins0 = new EncogReadHelper(mask0);
EncogFileSection section;
while ((section = ins0.ReadNextSection()) != null)
{
if (section.SectionName.Equals("BAM") &&
section.SubSectionName.Equals("PARAMS"))
{
IDictionary <String, String> paras = section.ParseParams();
EngineArray.PutAll(paras, result.Properties);
}
if (section.SectionName.Equals("BAM") &&
section.SubSectionName.Equals("NETWORK"))
{
IDictionary <String, String> p = section.ParseParams();
result.F1Count = EncogFileSection.ParseInt(p,
PersistConst.PropertyF1Count);
result.F2Count = EncogFileSection.ParseInt(p,
PersistConst.PropertyF2Count);
result.WeightsF1ToF2 = EncogFileSection.ParseMatrix(p, PersistConst.PropertyWeightsF1F2);
result.WeightsF2ToF1 = EncogFileSection.ParseMatrix(p, PersistConst.PropertyWeightsF2F1);
}
}
return(result);
}
/// <inheritdoc/>
public Object Read(Stream mask0)
{
var result = new BAMNetwork();
var ins0 = new EncogReadHelper(mask0);
EncogFileSection section;
while ((section = ins0.ReadNextSection()) != null)
{
if (section.SectionName.Equals("BAM")
&& section.SubSectionName.Equals("PARAMS"))
{
IDictionary<String, String> paras = section.ParseParams();
EngineArray.PutAll(paras, result.Properties);
}
if (section.SectionName.Equals("BAM")
&& section.SubSectionName.Equals("NETWORK"))
{
IDictionary<String, String> p = section.ParseParams();
result.F1Count = EncogFileSection.ParseInt(p,
PersistConst.PropertyF1Count);
result.F2Count = EncogFileSection.ParseInt(p,
PersistConst.PropertyF2Count);
result.WeightsF1ToF2 = EncogFileSection.ParseMatrix(p,PersistConst.PropertyWeightsF1F2);
result.WeightsF2ToF1 = EncogFileSection.ParseMatrix(p,PersistConst.PropertyWeightsF2F1);
}
}
return result;
}
private void ValidateBAM(BAMNetwork network)
{
Assert.AreEqual(6, network.F1Count);
Assert.AreEqual(3, network.F2Count);
Assert.AreEqual(18, network.WeightsF1ToF2.Size);
Assert.AreEqual(18, network.WeightsF2ToF1.Size);
Assert.AreEqual(2.0, network.WeightsF1ToF2[1, 1]);
Assert.AreEqual(3.0, network.WeightsF2ToF1[2, 2]);
}
/// <returns>The generated network.</returns>
public IMLMethod Generate()
{
var bam = new BAMNetwork(_f1Neurons, _f2Neurons);
return bam;
}
public void RunBAM(BAMNetwork network, NeuralDataMapping data)
{
var line = new StringBuilder();
line.Append(MappingToString(data));
network.Compute(data);
line.Append(" | ");
line.Append(MappingToString(data));
app.WriteLine(line.ToString());
}
