protected IEnumerable<XElement> GetElements(NetworkStructure structure)
{
HashSet<Connection> hsc=new HashSet<Connection>();
int l=0;
foreach(Link[] layer in structure.Layers) {
foreach(Link link in layer) {
XElement elem=new XElement("unit",
new XAttribute("type",Aliases[link.GetType().ToString()]),
new XAttribute("layer",l.ToString()),
link.GetDescription());
if(link is NeuronBase)
elem.Add(new XAttribute("func",Aliases[((NeuronBase)link).Func.GetType().ToString()]));
yield return elem;
if(link.Next!=null)
foreach(Connection connection in link.Next)
hsc.Add(connection);
if(link is NeuronBase)
if(((NeuronBase)link).Previous!=null)
foreach(Connection connection in ((NeuronBase)link).Previous)
hsc.Add(connection);
}
l++;
}
if(structure.Bias!=null) {
yield return new XElement("unit",
new XAttribute("type",Aliases[structure.Bias.GetType().ToString()]),
new XAttribute("value",structure.Bias.Value.ToString("R")),
structure.Bias.GetDescription());
foreach(Connection connection in structure.Bias.Next)
hsc.Add(connection);
}
HashSet<Weight> wsw=new HashSet<Weight>();
Dictionary<Weight,int> weightsDict=new Dictionary<Weight,int>();
int idx=1;
foreach(Connection connection in hsc) {
if(!weightsDict.ContainsKey(connection.Weight))
weightsDict.Add(connection.Weight,idx++);
yield return new XElement("connection",
new XAttribute("from",connection.Previous.GetDescription()),
new XAttribute("to",connection.Next.GetDescription()),
weightsDict[connection.Weight].ToString()
);
}
foreach(var kvp in weightsDict)
yield return new XElement("weight",new XAttribute("type",Aliases[kvp.Key.GetType().ToString()]),new XAttribute("index",kvp.Value.ToString()),kvp.Key.Value.ToString("R"));
}
public MultilayerPerceptron(NetworkStructure structure,double lo,double hi)
: this(structure)
{
Reset(lo,hi);
}
public MultilayerPerceptron(NetworkStructure structure)
: base(structure)
{
}
public FeedForwardNetwork(NetworkStructure structure)
{
Utility.Verify(()=>structure!=null);
Structure=structure;
}
public ConvolutionalNetwork(NetworkStructure structure)
: base(structure)
{
}
public MLPWatchdog(NetworkStructure structure)
: this(structure,-1,1)
{
}
public MLPWatchdog(NetworkStructure structure,double lo,double hi)
: base(structure,lo,hi)
{
Lo=lo;
Hi=hi;
}
public MultilayerPerceptron(NetworkStructure structure)
: base(structure)
{
}
protected IEnumerable <XElement> GetElements(NetworkStructure structure)
{
HashSet <Connection> hsc = new HashSet <Connection>();
int l = 0;
foreach (Link[] layer in structure.Layers)
{
foreach (Link link in layer)
{
XElement elem = new XElement("unit",
new XAttribute("type", Aliases[link.GetType().ToString()]),
new XAttribute("layer", l.ToString()),
link.GetDescription());
if (link is NeuronBase)
{
elem.Add(new XAttribute("func", Aliases[((NeuronBase)link).Func.GetType().ToString()]));
}
yield return(elem);
if (link.Next != null)
{
foreach (Connection connection in link.Next)
{
hsc.Add(connection);
}
}
if (link is NeuronBase)
{
if (((NeuronBase)link).Previous != null)
{
foreach (Connection connection in ((NeuronBase)link).Previous)
{
hsc.Add(connection);
}
}
}
}
l++;
}
if (structure.Bias != null)
{
yield return(new XElement("unit",
new XAttribute("type", Aliases[structure.Bias.GetType().ToString()]),
new XAttribute("value", structure.Bias.Value.ToString("R")),
structure.Bias.GetDescription()));
foreach (Connection connection in structure.Bias.Next)
{
hsc.Add(connection);
}
}
HashSet <Weight> wsw = new HashSet <Weight>();
Dictionary <Weight, int> weightsDict = new Dictionary <Weight, int>();
int idx = 1;
foreach (Connection connection in hsc)
{
if (!weightsDict.ContainsKey(connection.Weight))
{
weightsDict.Add(connection.Weight, idx++);
}
yield return(new XElement("connection",
new XAttribute("from", connection.Previous.GetDescription()),
new XAttribute("to", connection.Next.GetDescription()),
weightsDict[connection.Weight].ToString()
));
}
foreach (var kvp in weightsDict)
{
yield return(new XElement("weight", new XAttribute("type", Aliases[kvp.Key.GetType().ToString()]), new XAttribute("index", kvp.Value.ToString()), kvp.Key.Value.ToString("R")));
}
}
public MultilayerPerceptron(NetworkStructure structure, double lo, double hi)
: this(structure) {
Reset(lo, hi);
}
public FeedForwardNetwork(NetworkStructure structure)
{
Utility.Verify(() => structure != null);
Structure = structure;
}
public ConvolutionalNetwork Deserialize(XDocument xdoc)
{
NetworkStructure structure = GetStructure(xdoc.Element("root"));
return(new ConvolutionalNetwork(structure));
}
public ConvolutionalNetwork(NetworkStructure structure)
: base(structure)
{
}
public MultilayerPerceptron Deserialize(XDocument xdoc)
{
NetworkStructure structure = GetStructure(xdoc.Element("root"));
return(new MultilayerPerceptron(structure));
}
