private Data GetData(SchedulingData schedulingData)
{
var deliveryFromStart = schedulingData.Latness.Ticks - ealiestDeliveryDifference.Ticks;
var deliveryRatio = (double)deliveryFromStart / (latestDeliveryDifference.Ticks - ealiestDeliveryDifference.Ticks);
var overproductionFromStart = schedulingData.Overproduction - minimumOverproduction;
var overproductionRatio = (double)overproductionFromStart / (maximumOverproduction - minimumOverproduction);
return(new Data(deliveryRatio, overproductionRatio));
}
static void Main()
{
var schedulingDataNormalizer = new SchedulingDataNormalizer();
var taskA = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 15), 50, 50, true);
var taskB = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 14), 50, 40, true);
var taskC = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 16), 50, 60, true);
var taskD = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 13), 50, 30, true);
var taskE = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 17), 50, 70, true);
var taskF = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 15), 50, 40, false);
var taskG = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 14), 50, 30, false);
var taskH = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 17), 50, 60, false);
var taskI = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 13), 50, 20, false);
var taskJ = new SchedulingTrainingData(new DateTime(2007, 1, 15), new DateTime(2007, 1, 18), 50, 70, false);
var trainingDataNormalized = schedulingDataNormalizer.NormalizeSchedulingTrainingData(taskA,
taskB,
taskC,
taskD,
taskE,
taskF,
taskG,
taskH,
taskI,
taskJ);
var network = new NeuralNetwork(0.1, trainingDataNormalized.ToArray());
network.Train();
Console.WriteLine();
Console.WriteLine("Required Date, Delivered Data, Required Qty, Delivered Qty, Is acceptable");
var testA = new SchedulingData(new DateTime(2017, 1, 15), new DateTime(2017, 1, 14), 50, 45);
var testB = new SchedulingData(new DateTime(2017, 1, 15), new DateTime(2017, 1, 16), 50, 25);
var testC = new SchedulingData(new DateTime(2017, 1, 15), new DateTime(2017, 1, 16), 50, 55);
var testData = new [] { testA, testB, testC };
foreach (var schedulingData in testData)
{
var dataNormalized = schedulingDataNormalizer.NormarlizeSchedulingData(schedulingData);
var output = network.Evaluate(dataNormalized) == 1 ? "True" : "False";
Console.WriteLine($"{schedulingData}, {output}");
}
Console.ReadKey();
}
public Data NormarlizeSchedulingData(SchedulingData schedulingData)
{
return(GetData(schedulingData));
}
