//Creates an output list.
//For each arc a double[] is created and placed in the list.
//The array length is the number of possible restrictions
//If an arc has a restriction, the position in the array corresponding to the same
//type number of a restriction - 1, gets the value 1, the rest 0. e.g {0, 1, 0, 0} type 2
public static double[][] CreateOutputList(Network_DTO network)
{
int nrOfRestrictions = network.restrictions.Count();
double[][] outputList = new double[network.arcs.Count()][];
int listNr = 0;
foreach (Arc_DTO arc in network.arcs)
{
double[] restrictionOutput = new double[nrOfRestrictions];
if (nrOfRestrictions != 0)
{
foreach (string restrictionID in arc.arcRestrictionIds)
{
int restrictionNr = network.restrictions.Where(a => a.id == restrictionID).First().type - 1;
restrictionOutput[restrictionNr] = 1.0;
}
outputList[listNr] = restrictionOutput;
}
else
{
outputList[listNr] = restrictionOutput;
}
listNr++;
}
return(outputList);
}
} //Nodes of the network
//Load a Json file into one network (Network_DTO)
public static Network_DTO LoadJson(string name)
{
//File path
string jsonText = System.IO.File.ReadAllText(name);
//Deserialize json
Network_DTO network = JsonConvert.DeserializeObject <Network_DTO>(jsonText);
return(network);
}
//Input should return:
//Sinuosity
public static double[][] CreateInputList(Network_DTO network)
{
int arcsWithCurves = 0;
double max = 0;
double total = 0;
double[][] inputList = new double[network.arcs.Count()][];
int listNr = 0;
foreach (Arc_DTO arc in network.arcs)
{
double birdDist =
CalculateDistanceInKilometers(
arc.locations.First(), arc.locations.Last());
double totalDist =
CalculateDistanceInKilometers(
arc.locations);
double curves = 0.0;
//If birdDist != totalDist => atleast one curve in the arc
if (birdDist != totalDist)
{
arcsWithCurves++;
curves = EvaluateCurves(arc.locations);
if (curves > max)
{
max = curves;
}
total += curves;
}
inputList[listNr] = new double[] { curves, 50 };
listNr++;
}
Console.WriteLine("Arcs with curves: " + arcsWithCurves + " Max: " + max +
" Mean: " + total / network.arcs.Count());
return(inputList);
}
static void Main(string[] args)
{
//Empty variables
Network_DTO roadNetwork = null;
double[][] inputList = null;
double[][] outputList = null;
ActivationNetwork ANN = null;
while (choice != 7)
{
choice = DisplayData();
switch (choice)
{
case 1:
string[] files = Directory.GetFiles("Data/");
int count = 1;
Console.WriteLine("Choose file: ");
foreach (string s in files)
{
Console.WriteLine(count + ". " + s);
count++;
}
roadNetwork = Network_DTO.LoadJson(files[
Convert.ToInt32(Console.ReadLine()) - 1]);
inputList = Processing.CreateInputList(roadNetwork);
outputList = Processing.CreateOutputList(roadNetwork);
break;
case 2:
if (roadNetwork == null)
{
Console.WriteLine("Did not load or empty network");
break;
}
Console.WriteLine("Learning rate?[0,0 - 1,0]");
double learningRate = Convert.ToDouble(Console.ReadLine());
ANN = NeuralNetwork.CreateANN(inputList, outputList, learningRate);
break;
case 3:
if (ANN == null)
{
Console.WriteLine("Could not save: Neural network is null");
break;
}
Console.WriteLine("Give name to the neural network:");
string name = Console.ReadLine();
ANN.Save("ANN/" + name + ".json");
Console.WriteLine("Saved neural network");
break;
case 4:
string[] AIs = Directory.GetFiles("ANN/");
count = 1;
Console.WriteLine("Choose file: ");
foreach (string s in AIs)
{
Console.WriteLine(count + ". " + s);
count++;
}
ANN = (ActivationNetwork)Network.Load(AIs[Convert.ToInt32(Console.ReadLine()) - 1]);
if (ANN == null)
{
Console.WriteLine("Could not load network");
break;
}
Console.WriteLine("Loaded neural network");
break;
case 5:
if (inputList != null && ANN != null && outputList != null)
{
double[][] output = NeuralNetwork.ComputeNetwork(inputList, ANN);
NeuralNetwork.NetworkComparison(output, outputList);
}
if (inputList == null)
{
Console.WriteLine("Missing input");
break;
}
if (ANN == null)
{
Console.WriteLine("Missing ANN");
break;
}
if (outputList == null)
{
Console.WriteLine("Missing output");
break;
}
break;
case 6:
Console.WriteLine("Load XML");
Processing.LoadXML("Data/Norrkoping_hastighet.xml");
break;
case 7:
Console.WriteLine("Bye...");
break;
case 8: //Secret
//Console.WriteLine(speed.NextNode);
break;
}
}
}
