private void RadialNeuralLearn()
{
if (learningDocInfo != null && learningDocInfo.SourceDir != Settings.Default.pathLearningDir)
{
learningDocInfo = null;
}
//ładuje listę kategorii
DocumentClass.LoadFromFiles(Settings.Default.pathLearningDir, PreprocessingConsts.CategoryFilePattern);
//stworzenie słownika
dictionary = DictionaryFactory(Settings.Default.pathSummaryFile);
//dictionary.LearningData = new List<DocClass.Src.Learning.LearningPair>();
//stworzenie sieci
radialNetwork = new RadialNetwork(Settings.Default.numberNeuronsHidden, DocumentClass.CategoriesCount);
DocumentList dl = PreprocessingUtility.CreateLearningDocumentList(Settings.Default.pathLearningDir, dictionary, (DocumentRepresentationType)Settings.Default.documentRepresentationType, learningDocInfo);
if (radialNetwork.Learn(dl) == false)
{
radialNetwork = null;
dictionary = null;
}
}
static void Main()
{
int classNum = 20;
TestDocumentList tdl = new TestDocumentList(100, 100);
RadialNetwork rn = new RadialNetwork(50, classNum);
for (int i = 0; i < classNum; i++)
{
DocumentClass.AddClass(i.ToString());
}
rn.Learn(tdl);
}
/// <summary>
/// Odczytuje sieć nuronową z podanego pliku.
/// </summary>
/// <param name="pathFile">Scieżka do pliku.</param>
public void LoadRadialNetwork(String pathFile)
{
Stream stream = File.Open(pathFile, FileMode.Open);
BinaryFormatter bFormatter = new BinaryFormatter();
this.radialNetwork = (RadialNetwork)bFormatter.Deserialize(stream);
this.dictionary = (Dictionary)bFormatter.Deserialize(stream);
this.learningDocInfo = (LearningDocInfo)bFormatter.Deserialize(stream);
DocumentClass.DocumentCategories = (List <String>)bFormatter.Deserialize(stream);
this.learnDocumentRepresentationType = (DocumentRepresentationType)bFormatter.Deserialize(stream);
this.learnDictionaryType = (DictionaryType)bFormatter.Deserialize(stream);
LoadSettings(stream, bFormatter);
stream.Close();
this.form.LoadClassificatorEnd(ClasyficatorType.RadialNeural);
}
public FishRadialNN(int x, int y)
: base(x, y)
{
this._nn = new RadialNetwork(25);
this._lightR = this._nn.AddOutput();
this._lightG = this._nn.AddOutput();
this._lightB = this._nn.AddOutput();
this._eyeR = this._nn.AddInput();
this._eyeG = this._nn.AddInput();
this._eyeB = this._nn.AddInput();
this._speed = this._nn.AddOutput();
this._rotation = this._nn.AddOutput();
this._proximity = this._nn.AddInput();
this.X = x;
this.Y = y;
}
