public Form1()
{
InitializeComponent();
_param = new nnParameters
{
LearningRate = 0.9,
Layers = new List <int>()
{
3, 3, 3
},
InitValues = new List <double>()
{
0.9, 0.1, 0.8
},
TrainCycles = 100000,
TrainInput = new[] { 0.9, 0.1, 0.8 },
TrainOutput = new[] { 0.726, 0.708, 0.778 }
};
propertyGridTrain.SelectedObject = _param;
_neuralNetwork = new NeuralNet.NeuralNetwork(_param.LearningRate, _param.Layers);
propertyGridNN.SelectedObject = _neuralNetwork;
_trainWorker = new BackgroundWorker();
_trainWorker.DoWork += TrainWorkerOnDoWork;
_trainWorker.ProgressChanged += TrainWorkerOnProgressChanged;
_trainWorker.RunWorkerCompleted += TrainWorkerOnRunWorkerCompleted;
}
private void loadNNToolStripMenuItem_Click(object sender, EventArgs e)
{
if (openFileDialog.ShowDialog() == DialogResult.OK)
{
_neuralNetwork = SerializeHelper.DeserializeFromFile <NeuralNet.NeuralNetwork>(openFileDialog.FileName);
propertyGridTrain.SelectedObject = _param;
}
}
private void TrainWorkerOnDoWork(object sender, DoWorkEventArgs doWorkEventArgs)
{
_neuralNetwork = new NeuralNet.NeuralNetwork(_param.LearningRate, _param.Layers);
for (int i = 0; i < _param.TrainCycles; i++)
{
NeuralNet.NeuralNetwork.Train(_neuralNetwork, _param.TrainInput, _param.TrainOutput);
_trainWorker.ReportProgress();
}
}