public ActionResult TestMany(InputOutputViewModel vm)
{
vm.HopfieldOutput = new MatrixViewModel(64);
vm.ARTOutput = new MatrixViewModel(64);
vm.patterns = disturbed;
var testPatterns = disturbed;
var vector = vm.Input.neurons;
var x = string.Join("", vector);
var y = string.Join(",", vector);
int failCountHP = 0;
int failCountART = 0;
var outputVectorHP = new int[testPatterns.Length / 64];
var outputVectorART = new int[testPatterns.Length / 64];
var outputVectorART2 = new int[testPatterns.Length / 64];
if (hp == null || art == null || hp.trained == false || art.trained == false)
{
ViewBag.Message = "You have to train neural networks before testing.";
return(View("Index", vm));
}
string[] stringOupputART;
for (int i = 0; i < testPatterns.Length / 64; i++)
{
var outMatrixHP = hp.Test(testPatterns.GetRow(i));
var outART = art.Test(testPatterns.GetRow(i));
var outART2 = art2.Test(testPatterns.GetRow(i));
var outHP = hp.NeuronOutput(outMatrixHP, patterns);
if (outART >= 10)
{
outART = outART % 10;
}
if (outHP >= 10)
{
outHP = outHP % 10;
}
if (outART2 >= 10)
{
outART2 = outART2 % 10;
}
//outHP = patternsOrder.IndexOf(outHP);
outART = outART == -1 ? -1 : patternsOrder[outART];
outART2 = outART2 == -1 ? -1 : patternsOrder[outART2];
//vm.HopfieldOutput.neurons = outputHP;
outputVectorHP[i] = outHP;
outputVectorART[i] = outART;
outputVectorART2[i] = outART2;
if (outHP != i)
{
failCountHP++;
}
if (outART != i)
{
failCountART++;
}
}
string stringHP = string.Join("", outputVectorHP);
string stringART = string.Join("", outputVectorART);
string stringFailCount = $"HP: {failCountHP}, ART: {failCountART}";
System.IO.File.WriteAllText(@"C:\Patterns\responseHP.txt", stringHP);
System.IO.File.WriteAllText(@"C:\Patterns\responseART.txt", stringART);
System.IO.File.WriteAllText(@"C:\Patterns\symulacje\responseHP.txt", stringHP);
System.IO.File.WriteAllText(@"C:\Patterns\symulacje\responseART.txt", stringART);
System.IO.File.WriteAllText(@"C:\Patterns\symulacje\bledy.txt", stringFailCount);
var outputMatrixHP = hp.Test(vm.Input.neurons);
var outputART = art.Test(vm.Input.neurons);
//var outputART = art2.Test(vm.Input.neurons);
var outputHP = hp.NeuronOutput(outputMatrixHP, teachingSet);
if (outputART >= 10)
{
outputART = outputART % 10;
}
if (outputHP >= 10)
{
outputHP = outputHP % 10;
}
if (outputHP == -1)
{
ViewBag.Message = "Hopfield cannot recognize pattern.";
}
else
{
vm.HopfieldOutput.neurons = patternsChangeOrder.GetRow(outputHP);
}
if (outputART == -1)
{
ViewBag.Message = "ART cannot recognize pattern.";
}
else
{
vm.ARTOutput.neurons = patternsChangeOrder.GetRow(outputART);
}
return(View("Index", vm));
}
