/// <summary>
/// 使用指定时间区间内的指标数据训练新的bpnn网络
/// </summary>
/// <param name="startDate">开始时间</param>
/// <param name="endDate">结束时间</param>
/// <param name="sOutput">网络保存地址</param>
public void Train(int sampleNum, int tesNum, DateTime date)
{
string sOutput = DataHelper.GetConfig("networkPath");
TrainingRoom tr = new TrainingRoom();
var samples = new List <TrainingRoom.Sample>();
var dates = getSimilarPlate(date, 5, 0.9, 0.033, 0.033, 0.033, 10);
if (dates == null)
{
return;
}
for (int i = 0; i < dates.Count; i++)
{
samples.AddRange(tr.GetSample(Convert.ToDateTime(dates[i])));
}
var samplesTest = new List <TrainingRoom.Sample>();
var samplesTrain = new List <TrainingRoom.Sample>();
while (sampleNum > 0)
{
var index = OtherHelper.getRand(0, samples.Count - 1);
samplesTrain.Add(samples[index]);
samples.RemoveAt(index);
sampleNum--;
}
while (tesNum > 0)
{
var index = OtherHelper.getRand(0, samples.Count - 1);
samplesTest.Add(samples[index]);
samples.RemoveAt(index);
tesNum--;
}
samples.Clear();
tr.TrainBPNN(33, new int[2] {
12, 6
}, 1, 0.05, 0.01, 0.0001, DateTime.Now.AddMinutes(10), samplesTrain, sOutput);
}