IList <Line> EvaluateWholeEvening(Network ann, Track track, INormalizer velocityNormalizer, Line[] morning)
{
const int hvc = AnnInput.HistoricalVelocitiesCount;
var lastLinesOfMorning =
morning.Where(x => x.Time <= TimeConstants.T18).Reverse().Take(hvc + 1).Reverse().ToArray();
var input = new AnnInput
{
HistoricalVelocities = lastLinesOfMorning.Take(hvc).Select(x => x.Velocity.Value).ToArray(),
Time = lastLinesOfMorning.Last().Time
};
while (!Close10(input.Time, TimeConstants.T18))
{
double next = ann.Compute(input)[0];
input = input.Shift(next, input.Time.AddMinutes(TimeConstants.Interval));
}
var res = new List <Line>();
for (int i = TimeConstants.EarlyEvening; i < TimeConstants.LastMeasurement; i++)
{
double next = ann.Compute(input)[0];
res.Add(new Line {
Day = track.Day, Street = track.Street, Time = TimeConstants.EveningTime(i), Velocity = velocityNormalizer.Denormalize(next)
});
input = input.Shift(next, TimeConstants.EveningTime(i + 1));
}
return(res);
}
IList <TrainingPrecedent <AnnInput> > BuildTrainingSet(IEnumerable <Track> tracks)
{
var res = new List <TrainingPrecedent <AnnInput> >();
foreach (var track in tracks)
{
if (track.Lines.Length < AnnInput.HistoricalVelocitiesCount + 1)
{
continue;
}
var currentInput = new AnnInput
{
HistoricalVelocities = track.Lines.Take(AnnInput.HistoricalVelocitiesCount).Select(x => x.Velocity.Value).ToArray(),
Time = track.Lines[AnnInput.HistoricalVelocitiesCount].Time
};
var newLines = track.Lines.Skip(AnnInput.HistoricalVelocitiesCount).ToArray();
for (int i = 0; i < newLines.Length - 1; i++)
{
var l = newLines[i];
var ln = newLines[i + 1];
if (ln.Time >= TimeConstants.T18 || !Close10(l.Time, ln.Time))
{
break;
}
var precedent = new TrainingPrecedent <AnnInput> {
Output = l.Velocity.Value, Input = currentInput
};
res.Add(precedent);
currentInput = currentInput.Shift(l.Velocity.Value, ln.Time);
}
}
return(res);
}
