/// <summary>
/// Construct a simulated annleaing trainer for a feedforward neural network.
/// </summary>
///
/// <param name="network">The neural network to be trained.</param>
/// <param name="calculateScore">Used to calculate the score for a neural network.</param>
/// <param name="startTemp">The starting temperature.</param>
/// <param name="stopTemp">The ending temperature.</param>
/// <param name="cycles">The number of cycles in a training iteration.</param>
public NeuralSimulatedAnnealing(IMLEncodable network,
ICalculateScore calculateScore, double startTemp,
double stopTemp, int cycles) : base(TrainingImplementationType.Iterative)
{
_network = network;
_calculateScore = calculateScore;
_anneal = new NeuralSimulatedAnnealingHelper(this)
{
Temperature = startTemp,
StartTemperature = startTemp,
StopTemperature = stopTemp,
Cycles = cycles
};
}
/// <summary>
/// Construct a simulated annleaing trainer for a feedforward neural network.
/// </summary>
/// <param name="network">The neural network to be trained.</param>
/// <param name="calculateScore">Used to calculate the score for a neural network.</param>
/// <param name="startTemp">The starting temperature.</param>
/// <param name="stopTemp">The ending temperature.</param>
/// <param name="cycles">The number of cycles in a training iteration.</param>
public NeuralSimulatedAnnealing(BasicNetwork network,
ICalculateScore calculateScore,
double startTemp,
double stopTemp,
int cycles)
{
this.network = network;
this.calculateScore = calculateScore;
this.anneal = new NeuralSimulatedAnnealingHelper(this);
this.anneal.Temperature = startTemp;
this.anneal.StartTemperature = startTemp;
this.anneal.StopTemperature = stopTemp;
this.anneal.Cycles = cycles;
}
