private void 开始神经网络训练ToolStripMenuItem_Click(object sender, EventArgs e)
{
Thread learning = new Thread(delegate()
{
GameAINeuroEvolutionaryLearning GANEL;
if (File.Exists(Settings.DATA_FILENAME))
{
FileStream file = new FileStream(Settings.DATA_FILENAME, FileMode.Open);
GANEL = new GameAINeuroEvolutionaryLearning(Settings.POPULATION, file);
}
else
{
GANEL = new GameAINeuroEvolutionaryLearning(Settings.POPULATION);
}
for (int i = 0; i < Settings.EPOCH; i++)
{
GANEL.RunEpoch();
MultipleThread_MessageBox box = new MultipleThread_MessageBox(i, GANEL.BestChromosome.Fitness);
Thread thread = new Thread(box.MessageBox);
thread.Start();
}
GANEL.BestChromosome.Save(Settings.DATA_FILENAME);
GANEL.population[0].Save(Settings.DATA_FILENAME);
MessageBox.Show("训练完成，数据已保存");
});
learning.Start();
}
private void 开始神经网络训练ToolStripMenuItem_Click(object sender, EventArgs e)
{
Thread learning = new Thread(delegate ()
{
GameAINeuroEvolutionaryLearning GANEL;
if (File.Exists(Settings.DATA_FILENAME))
{
FileStream file = new FileStream(Settings.DATA_FILENAME, FileMode.Open);
GANEL = new GameAINeuroEvolutionaryLearning(Settings.POPULATION, file);
}
else
{
GANEL = new GameAINeuroEvolutionaryLearning(Settings.POPULATION);
}
for (int i = 0; i < Settings.EPOCH; i++)
{
GANEL.RunEpoch();
MultipleThread_MessageBox box = new MultipleThread_MessageBox(i, GANEL.BestChromosome.Fitness);
Thread thread = new Thread(box.MessageBox);
thread.Start();
}
GANEL.BestChromosome.Save(Settings.DATA_FILENAME);
GANEL.population[0].Save(Settings.DATA_FILENAME);
MessageBox.Show("训练完成，数据已保存");
});
learning.Start();
}
