//Ok save net works working now. something wrong with the call not hitting so this work around.
public void savenetwork()
{
#if DebugA
GD.Print("Made it to the C# save Network script");
#endif
NeuralNetworks.NetworkData MyNet = MoveShootNet.GetNetworkData();
//NeuralNetwork.SaveNetworkToFile(MyNet,"SomeNetwork.xml"); //not compatable with Mono 5.18 is compatable with 5.4
System.Xml.Serialization.XmlSerializer Aserialiser = new System.Xml.Serialization.XmlSerializer(typeof(NeuralNetworks.NetworkData));
//System.Xml.Serialization.XmlSerializer Aserialiser = new XmlSerializer(typeof(List<NeuralNetworks.LayerData>));
//System.Xml.Serialization.XmlSerializer Bserialiser = new XmlSerializer(typeof(List<NeuralNetworks.ConnectionData>));
try
{
//System.IO.TextWriter writer = new System.IO.StreamWriter("TheNeworkFileA.xml");
System.IO.TextWriter writer = new System.IO.StreamWriter("SomeNetwork.xml");
Aserialiser.Serialize(writer, MyNet);
writer.Close();
}
catch
{
GD.Print("But Failed to Save DataA");//Not Normaly printed.
}
// try
// {
// System.IO.TextWriter writer = new System.IO.StreamWriter("TheNeworkFileB.xml");
// Bserialiser.Serialize(writer, MyNet.Connections);
// writer.Close();
// }
// catch
// {
// GD.Print("But Failed to Save DataB");
// }
}
public static NetworkData ReadNetworkFromFile(string filename)
{
NetworkData data;
if (File.Exists(filename))
{
try
{
XmlSerializer serializer = new XmlSerializer(typeof(NetworkData));
FileStream stream = new FileStream(filename, FileMode.Open);
data = (NetworkData)serializer.Deserialize(stream);
stream.Close();
}
catch
{
MessageBox.Show("Network File Read Error: " + filename, "Error");
data = new NetworkData();
}
}
else
{
MessageBox.Show("File Not Found: " + filename, "Not Found");
data = new NetworkData();
}
return(data);
}
public BackPropogationNetwork(NetworkData data)
: base(data)
{
if (data != null)
//MessageBox.Show("File Read");
;
else
MessageBox.Show("From dll: File Not Found");
}
//Ok Load net works working now.
//But can not write to NumLayers because it is read only but cout rectreat Using simple constructer.
public void loadnetwork()
{
int Anum;
NeuralNetworks.NetworkData MyNet = MoveShootNet.GetNetworkData();
//NeuralNetworks.NetworkData MyNet2 = NeuralNetwork.ReadNetworkFromFile("SomeNetwork.xml"); // Not working some this about handing over to this funciton
// NeuralNetworks.NetworkData MyNet2 = MoveShootNet.GetNetworkData();
// System.Collections.Generic.IEnumerable <double> SomeBiases = new double[18];
//This works which is lucky
if (System.IO.File.Exists("SomeNetwork.xml"))
{
try
{
System.Xml.Serialization.XmlSerializer Aserialiser = new XmlSerializer(typeof(NeuralNetworks.NetworkData));
System.IO.FileStream Astream = new System.IO.FileStream("SomeNetwork.xml", System.IO.FileMode.Open);
MyNet = (NeuralNetworks.NetworkData)Aserialiser.Deserialize(Astream);
Astream.Close();
}
catch
{
GD.Print("But Failed to Load File");//Not Normaly printed.
}
}
else
{
GD.Print("But Failed to Find File"); //Not Normaly printed.
}
// //MoveShootNet = new BackPropogationNetwork(MyNet2);
//MoveShootNet.Layers[0].SetValues(MyNet.Layers[0].Bias);
MoveShootNet.Layers = new NeuralNetworks.Layer[MyNet.Layers.Count];
foreach (NeuralNetworks.LayerData ld in MyNet.Layers)
{
MoveShootNet.Layers[MyNet.Layers.IndexOf(ld)] = new NeuralNetworks.Layer(MyNet.Layers.IndexOf(ld), ld.NumNeuron, ld.ActType, ld.Bias);
}
foreach (ConnectionData cd in MyNet.Connections)
{
MoveShootNet.Layers[cd.From.Layer].Neurons[cd.From.Node].AddConnection(MoveShootNet.Layers[cd.To.Layer].Neurons[cd.To.Node], true, cd.Weight);
}
MoveShootNet.InputIndex = MyNet.InputLayerId;
MoveShootNet.OutputIndex = MyNet.OutputLayerId;
// SomeBiases = MyNet.Layers[0].Bias;
// Anum = MyNet.Layers[0].Bias.Count;
// Anum = SomeBiases.Count();
// GD.Print("Anum is ",(Anum));
// GD.Print("Bias is ",(SomeBiases));
//MoveShootNet = new NeuralNetworks.BackPropogationNetwork(MyNet); // Not working heap miss alinment ?
}
public BackPropogationNetwork(NetworkData data)
: base(data)
{
if (data != null)
{
//MessageBox.Show("File Read");
;
}
else
{
MessageBox.Show("From dll: File Not Found");
}
}
public static void SaveNetworkToFile(NetworkData netdata, string filename)
{
try
{
XmlSerializer serializer = new XmlSerializer(typeof(NetworkData));
TextWriter writer = new StreamWriter(filename);
serializer.Serialize(writer, netdata);
writer.Close();
}
catch
{
MessageBox.Show("File Not Saved: ", filename);
}
}
public NeuralNetwork(NetworkData network)
{
Layers = new Layer[network.Layers.Count];
NumLayers = network.Layers.Count;
foreach (LayerData ld in network.Layers)
{
Layers[network.Layers.IndexOf(ld)] = new Layer(network.Layers.IndexOf(ld), ld.NumNeuron, ld.ActType, ld.Bias);
}
foreach (ConnectionData cd in network.Connections)
{
Layers[cd.From.Layer].Neurons[cd.From.Node].AddConnection(Layers[cd.To.Layer].Neurons[cd.To.Node], true, cd.Weight);
}
InputIndex = network.InputLayerId;
OutputIndex = network.OutputLayerId;
}
public static void SaveNetworkToFile(NetworkData netdata, string filename)
{
try
{
XmlSerializer serializer = new XmlSerializer(typeof(NetworkData));
TextWriter writer = new StreamWriter(filename);
serializer.Serialize(writer, netdata);
writer.Close();
}
catch
{
MessageBox.Show("File Not Saved: ", filename);
}
}
public static NetworkData ReadNetworkFromFile(string filename)
{
NetworkData data;
if (File.Exists(filename))
{
try
{
XmlSerializer serializer = new XmlSerializer(typeof(NetworkData));
FileStream stream = new FileStream(filename, FileMode.Open);
data = (NetworkData)serializer.Deserialize(stream);
stream.Close();
}
catch
{
MessageBox.Show("Network File Read Error: " + filename, "Error");
data = new NetworkData();
}
}
else
{
MessageBox.Show("File Not Found: " + filename, "Not Found");
data = new NetworkData();
}
return data;
}
public NeuralNetwork(NetworkData network)
{
Layers = new Layer[network.Layers.Count];
NumLayers = network.Layers.Count;
foreach (LayerData ld in network.Layers)
{
Layers[network.Layers.IndexOf(ld)] = new Layer(network.Layers.IndexOf(ld), ld.NumNeuron, ld.ActType, ld.Bias);
}
foreach (ConnectionData cd in network.Connections)
{
Layers[cd.From.Layer].Neurons[cd.From.Node].AddConnection(Layers[cd.To.Layer].Neurons[cd.To.Node], true, cd.Weight);
}
InputIndex = network.InputLayerId;
OutputIndex = network.OutputLayerId;
}
