public virtual void Prepare()
{
PrepareData();
PrepareCharts();
network = new ActivationNetwork(new Tanh(0.2),
Sizes[0],
Sizes.Skip(1).ToArray());
network.ForEachWeight(z => rnd.NextDouble() * 2 - 1);
teacher = new BackPropagationLearning(network);
teacher.LearningRate = 1;
Form = new Form()
{
Text = GetType().Name,
Size = new Size(800, 600),
FormBorderStyle = FormBorderStyle.FixedDialog,
Controls =
{
AreaChart,
HistoryChart
}
};
}
protected virtual void CreateNetwork()
{
network = new ActivationNetwork(new Tanh(1), 1, 5, 1);
network.ForEachWeight(z => rnd.NextDouble() * 2 - 1);
teacher = new BackPropagationLearning(network);
teacher.LearningRate = 1;
}
protected override void CreateNetwork()
{
network = new ActivationNetwork(new Tanh(0.1), 1, 5, 1); //Меняем активационную функцию
network.ForEachWeight(z => rnd.NextDouble() * 2 - 1);
teacher = new BackPropagationLearning(network);
teacher.LearningRate = 1;
}
protected override void CreateNetwork()
{
network = new ActivationNetwork(new Tanh(0.1), 1, 7, 7, 6, 1);
network.ForEachWeight(z => rnd.NextDouble() * 2 - 1);
teacher = new BackPropagationLearning(network);
teacher.LearningRate = 1;
teacher.Momentum = 0.3;
}
