static void DisplayActivation(double[] weights, int dim, int numData, string filename)
{
InputOutputHandler myInput = new InputOutputHandler(dim, numData, filename);
double[][][] data = myInput.GetInputs();
ANNPerceptron res = new ANNPerceptron();
for (int i = 0; i < data.Length; i++)
{
double activation = res.Result(data[i][0], weights);
//Console.WriteLine("Activation= " + activation.ToString() + " || actual sol= " + data[i][1][0].ToString() + " || single error= " + (activation - data[i][1][0]).ToString());
}
}
static double Error(double[] weights, int dim, int numData, string filename)
{
InputOutputHandler myInput = new InputOutputHandler(dim, numData, filename);
double[][][] data = myInput.GetInputs();
ANNPerceptron res = new ANNPerceptron();
double sumSq = 0;
for (int i = 0; i < data.Length; i++)
{
double activation = res.Result(data[i][0], weights);
//Console.WriteLine(" - activation= " + activation.ToString() + " - actual sol= " + data[i][1][0].ToString());
sumSq += Math.Pow(activation - data[i][1][0], 2);
}
double err = Math.Sqrt((1.0 / data.Length) * sumSq);
return(err);
}
static void Main(string[] args)
{
Console.Write("Input number of fireflies (between 15 and 40): ");
int numFireflies = Convert.ToInt16(Console.ReadLine()); // typically 15-40
if (numFireflies < 15 || numFireflies > 40)
{
numFireflies = 40;
}
Console.Write("Input the dimensionality (typically 4): ");
int dim = Convert.ToInt16(Console.ReadLine());
if (dim < 3 || dim > 5)
{
dim = 4;
}
Console.Write("Input the maximum no of epochs (typically 1000): ");
int maxEpochs = Convert.ToInt16(Console.ReadLine());
if (maxEpochs < 500 || maxEpochs > 2000)
{
maxEpochs = 1000;
}
Console.Write("Input value for the variable in the value of alpha: ");
FireflyProgram.aVar = Convert.ToInt16(Console.ReadLine());
if (FireflyProgram.aVar < 0.0 || FireflyProgram.aVar > 2.0)
{
FireflyProgram.aVar = 0.98;
}
int seed = 0;
Console.Write("Input no of training/testing records to use (typically between 10 and 50): ");
int numData = Convert.ToInt16(Console.ReadLine());
if (numData < 5 || numData > 100)
{
numData = 50;
}
Console.Write("input the name of your training/testing file (eg. alk.csv): ");
string filename = Console.ReadLine();
if (filename == "")
{
filename = "alk.csv";
}
Console.Clear();
Console.WriteLine("\nSetting numFireflies = " + numFireflies);
Console.WriteLine("Setting problem dim = " + dim);
Console.WriteLine("Setting maxEpochs = " + maxEpochs);
Console.WriteLine("Setting initialization seed = " + seed);
Console.WriteLine("Setting no training/testing data = " + numData);
Console.WriteLine("Setting no training/testing file name = " + filename);
Console.WriteLine("\nStarting firefly algorithm\n");
double[] bestWeights = Solve(numFireflies, dim, seed, maxEpochs, numData, filename);
Console.WriteLine("\nFinished\n");
Console.WriteLine("Best solution found: ");
Console.Write("weights = ");
ShowVector(bestWeights, 4, true);
double error = Error(bestWeights, dim, numData, filename);
Console.Write("Error at best weight = ");
Console.WriteLine(error.ToString("F4"));
//DisplayActivation(bestWeights, dim, numData, filename);
InputOutputHandler myInput = new InputOutputHandler(dim, numData, filename);
myInput.WriteOutputs(bestWeights);
Console.WriteLine("\nEnd of algorithm\n");
Console.ReadLine();
}
