static void Main()
{
double[][] inputs = new double[10][];
double[][] targets = new double[10][];
int temp;
for(int i=0;i<10;i++)
{
double[] array = new double[25000];
temp = Network.random.Next(0,2);
int a = 0;
int b = 0;
int c = 0;
int d = 0;
int e = 0;
for(int j=0;j<25000;j++)
{
temp = Network.random.Next(0,2);
a = (a+temp)%2;
b = (b+temp)%3;
c = (c+temp)%5;
d = (d+temp)%7;
e = (e+temp)% 11;
array[j] = temp;
}
double[] tar = new double[]{a, b/2.0, c/4.0, d/6.0, e/10.0};
inputs[i]=Functions.copyDoubleArray(array);
targets[i]=Functions.copyDoubleArray(tar);
}
Network net = new Network();
net.addLayers(25000,1000,5);
net.setVerbosity(0);
net.setInputs(inputs);
net.setTargets(targets);
net.setReportRate(1);
net.setResetEpoch(100000);
net.setTolerance(.4);
Console.WriteLine("Generated patterns");
DateTime start = DateTime.Now;
net.train(0,10);
TimeSpan timeTaken = DateTime.Now - start;
Console.WriteLine("Minutes: " + timeTaken.Minutes);
Console.WriteLine("Seconds: " + timeTaken.Seconds);
Console.WriteLine("Milliseconds: " + timeTaken.Milliseconds);
/*
Random rand = new Random();
SRN net = new SRN();
net.addSRNLayers(3,3,3);
net.tolerance = .3;
double[][] inputs = new double[99][];
double temp = 0;
for(int i = 0; i< 99; i++)
{
if(i%3 == 0)
{
inputs[i] = new double[]{.9,.1,.1};
}
else
{
if (temp==2)
{
inputs[i] = new double[]{.1,.9,.1};
temp = 0;
}
else
{
if (temp == 3)
{
inputs[i] = new double[]{.1,.1,.9};
temp = 0;
}
else
{
temp = rand.Next(2,4);
if (temp==2)
{
inputs[i] = new double[]{.1,.1,.9};
}
else
{
inputs[i] = new double[]{.1,.9,.1};
}
}
}
}
}
double[][] targets = new double[99][];
for(int i=0; i<98;i++)
{
targets[i] = inputs[i+1];
}
targets[98] = new double[]{.9,.1,.1};
net.setInputs(inputs);
net.setTargets(targets);
net.setSequenceType("ordered-continuous");
net.setReportRate(10);
net.train();
*/
/*
//very simple Network for debugging
double[][] inputs = new double[2][];
double[][] targets = new double[2][];
double[] a1 = new double[]{0,1};
double[] a2 = new double[]{1,0};
double[] b1 = new double[]{1};
double[] b2 = new double[]{0};
inputs[0]=a1;
inputs[1]=a2;
targets[0]=b1;
targets[1]=b2;
Network net = new Network();
net.addThreeLayers(2,1,1);
net.setInputs(inputs);
net.setTargets(targets);
net.setTolerance(.4);
net.setVerbosity(0);
net.setReportRate(1);
net.saveInputsToFile("intest.conx");
net.loadInputsFromFile("intest.conx");
net.saveTargetsToFile("tartest.conx");
net.loadTargetsFromFile("tartest.conx");
net.layers[0].weight[0]=0;
net.layers[0].weight[1]=0;
net.layers[1].weight[0]=0;
net.layers[2].weight[0]=0;
net.connections[0].weight[0][0]=0;
net.connections[0].weight[1][0]=0;
net.connections[1].weight[0][0]=0;
net.setOrderedInputs(true);
net.setVerbosity(0);
net.train(0,1000);
Console.WriteLine("Done.");
*/
}