我有一个关于如何在Encog库中保存神经网络的问题,使用的是C#语言。我想序列化隐藏层的权重和输入输出层的数据。此外,如果我想成功反序列化它,还需要将网络结构保存在某个地方。 下面是我创建网络并序列化BasicNetwork对象的代码部分,当然这是不正确的。我已经找到了很多关于如何在Java版本中做到这一点的信息,但是没有关于C#的。
BasicNetwork network = CreateNet(nettype,res11[i],1,2);
INeuralDataSet trainingSet = new BasicNeuralDataSet(masStudyInput, masStudyOutput);
INeuralDataSet TestingSet = new BasicNeuralDataSet(masTestInput, mastestOutput);
ITrain train = new ResilientPropagation(network, trainingSet);
int epoch = 1;
//network.Structure.Layers.
MessageBox.Show("Start");
do
{
train.Iteration();
mist = GetMistake(ref network, ref TestingSet);
chart1.Invoke((Action)(() =>
{
chart1.Series[0].Points.AddY(train.Error);
chart1.Series[1].Points.AddY(mist);
}));
network.
if (mist < 0.8)
{
string XMLfilename = System.IO.Path.GetDirectoryName(Application.ExecutablePath) + @"\" + mist + ".xml";
System.Xml.Serialization.XmlSerializer writer = new System.Xml.Serialization.XmlSerializer(typeof(BasicNetwork));
TextWriter writerr = new StreamWriter(XMLfilename);
writer.Serialize(writerr, network);
writerr.Close();
}
epoch++;
}
while ((epoch < 1000));SS