c# - 保存encog网络c#

Question

我有一个关于如何在 encog 库 c# 中保存神经网络的问题。我想序列化隐藏层的权重以及来自输入和输出层的数据。如果我想成功反序列化它，还需要保存网络的某个结构。在我创建网络和序列化 BasicNetwork 对象的代码部分下面，当然它是不正确的。我找到了很多关于如何使用 java 版本的信息，但要注意 c#。

                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

Answer 1

Encog 也有保存器/加载器：

EncogDirectoryPersistence.SaveObject(new System.IO.FileInfo(txtSaveFile.Text), _network);

_network = (BasicNetwork)EncogDirectoryPersistence.LoadObject(new FileInfo(txtSaveFile.Text));

Answer 2

网络是可序列化的，因此您可以使用任何您想要的序列化程序。一个例子：

var serializer = new BinaryFormatter();
using (var ms = new MemoryStream())
{
    serializer.Serialize(ms, network);
    ms.Position = 0;
    byte[] serialized = ms.ToArray();
    return serialized;
}