double[][] GetInputArray(List <Customer> customerList)
{
double[][] Input = new double[customerList.Count()][];
int i = 0;
foreach (Customer customer in customerList)
{
NormalizedCustomer nc = new NormalizedCustomer(customer);
Input[i] = new double[] { nc.Age, nc.AnnualIncome, nc.WorkStatusStudent, nc.WorkStatusEmployed, nc.WorkStatusUnemployed, nc.WorkStatusRetired };
i++;
}
return(Input);
}
double[][] GetOutputArray(List <Customer> customerList)
{
double[][] Output = new double[customerList.Count()][];
int i = 0;
foreach (Customer customer in customerList)
{
NormalizedCustomer nc = new NormalizedCustomer(customer);
Output[i] = new double[] { nc.DestinationPrag, nc.DestinationBudapest, nc.DestinationBerlin, nc.DestinationStockholm, nc.DestinationOslo, nc.DestinationLondon,
nc.DestinationNewYork, nc.DestinationGreenland, nc.DestinationBoraBora, nc.DestinationDubai };
i++;
}
return(Output);
}
private void ManualTestOfNetwork(INeuralNet net, int numberOfInputNodes, int numberOfOutputNodes)
{
while (true)
{
// Asking user for input
int age, annualIncome, workStatus, destination;
Console.WriteLine("\nManual test");
Console.Write("Age: ");
age = Convert.ToInt32(Console.ReadLine());
Console.Write("Annual income: ");
annualIncome = Convert.ToInt32(Console.ReadLine());
Console.Write("1: Student, 2: Employed, 3: Unemployed, 4: Retired\n" +
"Work status: ");
workStatus = Convert.ToInt32(Console.ReadLine());
Console.Write("1: Prag, 2: Budapest, 3: Berlin, 4: Stockholm, 5: Oslo, 6: London, 7: New York, 8: Grønland, 9: Bora Bora, 10: Dubai\n" +
"Destination:");
destination = Convert.ToInt32(Console.ReadLine());
Customer customer = new Customer(age, annualIncome, workStatus, destination);
NormalizedCustomer nc = new NormalizedCustomer(customer);
// Converting normalized customer to input and output arrays
double[][] userInput = new double[1][];
userInput[0] = new double[] { nc.Age, nc.AnnualIncome, nc.WorkStatusStudent, nc.WorkStatusEmployed, nc.WorkStatusUnemployed, nc.WorkStatusRetired };
double[][] userOutput = new double[1][];
userOutput[0] = new double[] { nc.DestinationPrag, nc.DestinationBudapest, nc.DestinationBerlin, nc.DestinationStockholm, nc.DestinationOslo, nc.DestinationLondon,
nc.DestinationNewYork, nc.DestinationGreenland, nc.DestinationBoraBora, nc.DestinationDubai };
// Testing the input customer
for (int j = 0; j < numberOfInputNodes; j++)
{
net.PerceptionLayer[j].Output = userInput[0][j];
}
net.Pulse();
double[][] actualTestDataResults = new double[1][];
actualTestDataResults[0] = new double[numberOfOutputNodes];
for (int i = 0; i < numberOfOutputNodes; i++)
{
actualTestDataResults[0][i] = net.OutputLayer[i].Output;
}
// Checking accuracy of the test
int actualResult = 0;
for (int i = 0; i < numberOfOutputNodes; i++)
{
if (actualTestDataResults[0][i] > 0.5)
{
actualResult = i + 1;
}
}
// Conclusion
Console.WriteLine("Expected result: {0}, Actual result: {1}", destination, actualResult);
if (destination == actualResult)
{
Console.WriteLine("The neural network reached the expected result.");
}
else if (actualResult == 0)
{
Console.WriteLine("The neural network couldn't find a destination.");
}
else
{
Console.WriteLine("The neural network did not reach the expected result.");
}
Console.WriteLine("Press any key to manually test again...");
Console.ReadKey();
}
}
