public static LightSensitivityParam CloneFrom(LightSensitivityParam other, Random rnd)
{
double maxMutation = AppProperties.NetworkMaxRegularMutation;
return
(new LightSensitivityParam
{
Sensetive = other.Sensetive,
Direction = other.Direction + (2.0 * rnd.NextDouble() - 1.0) * maxMutation,
Width = Math.Max(0.001, other.Width + (2.0 * rnd.NextDouble() - 1.0) * maxMutation)
});
}
public Neuron(int size, Random rnd)
{
Weights = new double[size];
BaseLevel = 0.0;
for (int i = 0; i < size; ++i)
{
Weights[i] = 0.0;
}
LightSensitivity = new LightSensitivityParam();
}
public static LightSensitivityParam CloneFromWithSevereRandom(LightSensitivityParam other, Random rnd)
{
double alpha = AppProperties.NetworkSevereMutationAlpha;
double sensitivityProbability = AppProperties.LightSensetivityProbability;
return
(new LightSensitivityParam
{
Sensetive = rnd.NextDouble() < sensitivityProbability,
Direction = other.Direction * alpha + (2.0 * rnd.NextDouble() - 1.0) * (1 - alpha),
Width = Math.Max(0.001, Math.Abs(other.Width * alpha + (2.0 * rnd.NextDouble() - 1.0) * (1 - alpha)))
});
}
public static Neuron CloneFromWithShrink(Neuron other, Random rnd, bool[] keepVector)
{
return
(new Neuron
{
Weights = other.Weights
.Where((v, idx) => keepVector[idx])
.ToArray(),
BaseLevel = other.BaseLevel,
LightSensitivity = LightSensitivityParam.CloneFrom(other.LightSensitivity, rnd)
});
}
public static Neuron CloneFrom(Neuron other, Random rnd)
{
double maxMutation = AppProperties.NetworkMaxRegularMutation;
return
(new Neuron
{
Weights =
other.Weights
.Select(x => x + (2.0 * rnd.NextDouble() - 1.0) * maxMutation)
.ToArray(),
BaseLevel = other.BaseLevel + (2.0 * rnd.NextDouble() - 1.0) * maxMutation,
LightSensitivity = LightSensitivityParam.CloneFrom(other.LightSensitivity, rnd)
});
}
public static Neuron CloneFromWithSevereRandom(Neuron other, Random rnd)
{
double alpha = AppProperties.NetworkSevereMutationAlpha;
return
(new Neuron
{
Weights =
other.Weights
.Select(x => x * alpha + (2.0 * rnd.NextDouble() - 1.0) * (1.0 - alpha))
.ToArray(),
BaseLevel = other.BaseLevel * alpha + (2.0 * rnd.NextDouble() - 1.0),
LightSensitivity = LightSensitivityParam.CloneFromWithSevereRandom(other.LightSensitivity, rnd)
});
}
public static Neuron CloneFromWithExpansionZeroValues(Neuron other, Random rnd, bool[] doubleVector)
{
double maxMutation = AppProperties.NetworkMaxRegularMutation;
var mainValues = other.Weights;
var newValues = other.Weights
.Where((v, idx) => doubleVector[idx])
.Select(x => (2.0 * rnd.NextDouble() - 1.0) * maxMutation);
return
(new Neuron
{
Weights = mainValues.Concat(newValues).ToArray(),
BaseLevel = other.BaseLevel,
LightSensitivity = LightSensitivityParam.CloneFromWithSevereRandom(other.LightSensitivity, rnd)
});
}
public static Neuron CloneFromWithExpansion(Neuron other, Random rnd, bool[] doubleVector)
{
double alpha = AppProperties.NetworkSevereMutationAlpha;
var mainValues = other.Weights;
var newValues = other.Weights
.Where((v, idx) => doubleVector[idx])
.Select(x => x * alpha + (2.0 * rnd.NextDouble() - 1.0) * (1.0 - alpha));
return
(new Neuron
{
Weights = mainValues.Concat(newValues).ToArray(),
BaseLevel = other.BaseLevel,
LightSensitivity = LightSensitivityParam.CloneFromWithSevereRandom(other.LightSensitivity, rnd)
});
}
