private BAMNetwork Create()
{
var network = new BAMNetwork(6, 3);
network.WeightsF1ToF2[1, 1] = 2.0;
network.WeightsF2ToF1[2, 2] = 3.0;
return(network);
}
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]);
}
public void TestPersistSerial()
{
BAMNetwork network = Create();
SerializeObject.Save(SERIAL_FILENAME.ToString(), network);
var network2 = (BAMNetwork)SerializeObject.Load(SERIAL_FILENAME.ToString());
ValidateBAM(network2);
}
public void TestPersistEG()
{
BAMNetwork network = Create();
EncogDirectoryPersistence.SaveObject(EG_FILENAME, network);
var network2 = (BAMNetwork)EncogDirectoryPersistence.LoadObject(EG_FILENAME);
ValidateBAM(network2);
}
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());
}
/// <returns>The generated network.</returns>
public IMLMethod Generate()
{
var bam = new BAMNetwork(_f1Neurons, _f2Neurons);
return bam;
}
static void Main(string[] args)
{
// if( args.Length != 2 )
// {
// Console.WriteLine( "Invalid argument list." );
// return;
// }
const int patterns = 5;
const int inputs = 35;
const int outputs = 5;
GenerateOutputValues();
GenerateInputPatterns();
var data = CreatePatterns(inputs, outputs);
var upperdata = CreateUpperPatterns(inputs, outputs);
var builder = new StringBuilder();
// Print Training Set
Console.WriteLine("Training Set");
for (var i = 0; i < patterns; i++)
{
Console.WriteLine("Index: {0}", i);
builder.Remove(0, builder.Length);
for (var j = 0; j < data[i].getInSize(); j++)
{
if (builder.Length > 0)
{
builder.Append(",");
}
builder.Append(data[i].getIn(j));
}
Console.WriteLine(" Inputs: {0}", builder);
builder.Remove(0, builder.Length);
for (var j = 0; j < data[i].getOutSize(); j++)
{
if (builder.Length > 0)
{
builder.Append(",");
}
builder.Append(data[i].getOut(j));
}
Console.WriteLine(" Outputs: {0}", builder);
}
for (var i = 0; i < patterns; i++)
{
Console.WriteLine("Index: {0}", i + 5);
builder.Remove(0, builder.Length);
for (var j = 0; j < upperdata[i].getInSize(); j++)
{
if (builder.Length > 0)
{
builder.Append(",");
}
builder.Append(upperdata[i].getIn(j));
}
Console.WriteLine(" Inputs: {0}", builder);
builder.Remove(0, builder.Length);
for (int j = 0; j < upperdata[i].getOutSize(); j++)
{
if (builder.Length > 0)
{
builder.Append(",");
}
builder.Append(upperdata[i].getOut(j));
}
Console.WriteLine(" Outputs: {0}", builder);
}
// Create BAM
var bam = new BAMNetwork(inputs, outputs);
var upperbam = new BAMNetwork(inputs, outputs);
// always have to create the network first, or nothing works
bam.CreateNetwork();
upperbam.CreateNetwork();
// Train the BAM
for (var i = 0; i < patterns; i++) // Add All Patterns to the BAM
{
bam.SetNodeValue(data[i]); // Load Input Node Values
bam.Learn();
}
for (var i = 0; i < patterns; i++)
{
upperbam.SetNodeValue(upperdata[i]);
upperbam.Learn();
}
// Run the BAM
for (var i = 0; i < patterns; i++)
{
bam.SetNodeValue(data[i]); // Load Input Node Values
bam.Run();
Console.WriteLine("Pattern: {0}", i);
for (int j = 0; j < outputs; j++) // Print results
{
Console.WriteLine(" BAM output: {0} Desired output: {1}",
bam.GetNodeValue(j).ToString("F3"),
data[i].getOut(j).ToString("F3"));
}
} // for i
// run the second bam
for (var i = 0; i < patterns; i++)
{
upperbam.SetNodeValue(upperdata[i]); // Load Input Node Values
upperbam.Run();
Console.WriteLine("Pattern: {0}", i + 5);
for (var j = 0; j < outputs; j++) // Print results
{
Console.WriteLine(" BAM output: {0} Desired output: {1}",
upperbam.GetNodeValue(j).ToString("F3"),
upperdata[i].getOut(j).ToString("F3"));
}
} // for i
// CreateInputPatterns();
// CreateOutputValues();
//
// // Create BAM
// BAMNetwork bam = new BAMNetwork(35, 10);
//
// // Train the BAM
// for (int i=0; i<10; i++) // Add All Patterns to the BAM
// {
// StringPattern pattern = new StringPattern( PatternStrings[i], OutputValues[i] );
// bam.setNodeValue(pattern); // Load Input Node Values
// bam.Learn(0);
// }
//
// // Run the BAM
// for (int i=0; i<10; i++)
// {
// StringPattern pattern = new StringPattern( PatternStrings[i], OutputValues[i] );
// bam.setNodeValue(pattern); // Load Input Node Values
//
// bam.Run(0);
//
// Console.WriteLine( "Pattern: {0}", i );
// for (int j=0; j<10; j++) // Print results
// {
// Console.WriteLine( "BAM Output: {0} Desired Output: {1}", bam.getNodeValue(j).ToString("F3"), OutputValues[i][j].ToString("F3") );
// }
// } // for i
Console.Read();
}
