public override String GetValueText(Vector value = null)
{
if (value == null)
{
value = Value;
}
if (value == null)
{
return("");
}
Receptor receptor = (Receptor)net["_" + this.Gene.Name];
return(receptor.GetValueText(value));
}
/// <summary>
/// 生成的测试集第一个是本能动作，第二个是方向不变动作，然后逐渐向两边增大
/// </summary>
/// <param name="instinctActions"></param>
/// <returns></returns>
private List <List <double> > CreateTestActionSet(List <double> instinctActions)
{
List <List <double> > r = new List <List <double> >();
Receptor receptor = (Receptor)this.net["_a2"];
int count = receptor.getGene().SampleCount;
double unit = receptor.getGene().LevelUnitDistance;
double[] values = receptor.GetSampleValues();
if (values != null)
{
int minIndex = values.ToList().ConvertAll(v => Math.Abs(v - instinctActions[0])).argmin();
instinctActions[0] = values[minIndex];
if (_cached_ActionSet.ContainsKey(instinctActions[0]))
{
return(_cached_ActionSet[instinctActions[0]]);
}
r.Add(instinctActions);
int index = 1;
while (r.Count < count)
{
int t = (minIndex + index) % (values.Length);
r.Add(new double[] { values[t] }.ToList());
if (r.Count >= count)
{
break;
}
t = minIndex - index;
if (t < 0)
{
t = values.Length - 1;
}
r.Add(new double[] { values[t] }.ToList());
index += 1;
}
_cached_ActionSet.Add(instinctActions[0], r);
return(r);
}
r.Add(instinctActions);
int i = 1;
while (r.Count < count)
{
double temp = instinctActions[0] + i * unit;
if (temp < 0)
{
temp = 1.0 + unit + temp;
}
else if (temp > 1)
{
temp = temp - 1.0 - unit;
}
if (temp <= 0.0000001)
{
temp = 0;
}
r.Add((new double[] { temp }).ToList());
if (r.Count >= count)
{
break;
}
temp = instinctActions[0] - i * unit;
if (temp < 0)
{
temp = 1.0 + unit + temp;
}
else if (temp > 1)
{
temp = temp - 1.0 - unit;
}
if (temp <= 0.0000001)
{
temp = 0;
}
r.Add((new double[] { temp }).ToList());
i++;
}
return(r);
}
