/// <summary>
/// Save created network
/// </summary>
/// <param name="rnetwork">current rnetwork</param>
/// <param name="io_type">type of input and output</param>
/// <param name="inputs">List of inputs</param>
/// <param name="outputs">List of outputs</param>
public void NewNetwork(Rnetwork rnetwork, Input_Output_Type io_type, List <Input> inputs, List <Output> outputs)
{
//todo: rnn dbmanager and save
rlmDb.SaveNetwork(rnetwork, io_type, inputs, outputs);
double r = 1.0;
double s = 1.0;
foreach (var input in inputs)
{
r *= input.Max;
}
rneuronsBoundedCapacity = Convert.ToInt32(r);
foreach (var output in outputs)
{
s *= output.Max;
}
solutionsBoundedCapacity = Convert.ToInt32(s);
}
/// <summary>
/// Save created network
/// </summary>
/// <param name="rnetwork">current rnetwork</param>
/// <param name="io_type">type of input and output</param>
/// <param name="inputs">List of inputs</param>
/// <param name="outputs">List of outputs</param>
public void NewNetwork(Rnetwork rnetwork, Input_Output_Type io_type, List <Input> inputs, List <Output> outputs)
{
//todo: rnn dbmanager and save
rlmDb.SaveNetwork(rnetwork, io_type, inputs, outputs);
double r = 1.0;
double s = 1.0;
foreach (var input in inputs)
{
r *= input.Max;
}
rneuronsBoundedCapacity = Convert.ToInt32(r);
foreach (var output in outputs)
{
s *= output.Max;
}
solutionsBoundedCapacity = Convert.ToInt32(s);
//Rneurons = new ConcurrentDictionary<long, Rneuron>(iConcurrencyLevel, rneuronsBoundedCapacity);
//Solutions = new ConcurrentDictionary<long, Solution>(iConcurrencyLevel, solutionsBoundedCapacity);
}
