/// <summary>
/// Trains FF network to solve boolean algebra.
/// It shows how to use the TNRNetBuilder (TNRNetBuilder is using its default build controller).
/// </summary>
private void TNRNetBuilderLearning_DefaultController()
{
_log.Write("Example of a FF network build using the TNRNetBuilder component with default build controller:");
//Create FF network configuration.
FeedForwardNetworkSettings ffNetCfg = CreateFFNetConfig();
_log.Write($"Network configuration xml:");
_log.Write(ffNetCfg.GetXml(true).ToString());
//Collect training data
VectorBundle trainingData = CreateTrainingData();
//In our case, testing data is the same as training data
VectorBundle testingData = trainingData;
//Training
//Create builder instance
TNRNetBuilder builder = new TNRNetBuilder("Boolean Algebra", //Network name
ffNetCfg, //Network configuration
TNRNet.OutputType.Real, //Network output is one or more real numbers
trainingData, //Training data
testingData, //Testing data
null, //No specific random generator object to be used
null //No specific build controller -> use default
);
//Register notification event handler
builder.NetworkBuildProgressChanged += OnNetworkBuildProgressChanged;
//Build the network
_log.Write(string.Empty);
_log.Write(" Training");
TNRNet ffNet = builder.Build();
//Training is done
_log.Write(string.Empty);
//Display the network computation results
DisplayNetworkComputations(ffNet.Network);
//Finished
return;
}
//Methods
/// <summary>
/// Evaluates whether the "candidate" network achieved a better result than the best network so far.
/// </summary>
/// <param name="candidate">The candidate network to be evaluated.</param>
/// <param name="currentBest">The best network so far.</param>
private static bool IsBetter(TNRNet candidate, TNRNet currentBest)
{
return(candidate.CombinedPrecisionError < currentBest.CombinedPrecisionError);
}
