public void Tests()
{
testedClassificator = new RadialNetwork(12, 2);
Console.WriteLine("Instance crated");
Assert.IsNotNull(testedClassificator);
dictionary = new DictionaryFake(100);
dictionary.Init(null);
Console.WriteLine("Instance crated");
Assert.IsNotNull(testedClassificator);
DocumentClass.AddClass("zero");
DocumentClass.AddClass("jeden");
//testedClassificator.Learn(dictionary);
int counter = 0;
int total = 100;
for (int i = 0; i < total; i++)
{
double[] test = GenTestVector();
Console.WriteLine(test[0] + " " + test[1]);
int desired = desiredOutput(test);
int get = testedClassificator.Classificate(test);
Console.WriteLine("Spodzienawy wynik: " + desired);
Console.WriteLine("Otrzymany wynik: " + get);
if (get == desired)
{
Console.WriteLine("---------------------------------------OK!");
counter++;
}
Console.WriteLine();
}
Console.WriteLine("Skutecznosc rzedu: " + (double)counter / total * 100);
}
static void Main()
{
int classNum = 20;
TestDocumentList tdl = new TestDocumentList(100, 100);
RadialNetwork rn = new RadialNetwork(50, classNum);
for (int i = 0; i < classNum; i++)
{
DocumentClass.AddClass(i.ToString());
}
rn.Learn(tdl);
}
