public void ReturnZeroErrorOnPatternsSameAsOutput()
{
var patternA = new LearningPattern
{
Input = new List<IFuzzyNumber>
{
new DiscreteFuzzyNumber(new TriangularFuzzyFunction(-1, 0, 1), 3),
new DiscreteFuzzyNumber(new TriangularFuzzyFunction(-1, 0, 1), 3),
new DiscreteFuzzyNumber(new TriangularFuzzyFunction(-1, 0, 1), 3),
},
Output = new List<IFuzzyNumber>(),
};
var patternB = new LearningPattern
{
Input = new List<IFuzzyNumber>
{
new DiscreteFuzzyNumber(new TriangularFuzzyFunction(0, 1, 2), 3),
new DiscreteFuzzyNumber(new TriangularFuzzyFunction(0, 1, 2), 3),
new DiscreteFuzzyNumber(new TriangularFuzzyFunction(0, 1, 2), 3),
},
Output = new List<IFuzzyNumber>()
};
var bp = new BackPropagation(new List<ILearningPattern> { patternA, patternB });
var net = new SimpleFuzzyNet(3, new[] {2}, () => DiscreteFuzzyNumber.GenerateLittleNumber(levelsCount: 3),
levelsCount: 3);
patternA.Output = net.Propagate(patternA.Input);
patternB.Output = net.Propagate(patternB.Input);
bp.StepPerformed += (state) => Assert.That(state.CycleError, Is.EqualTo(0.0));
bp.LearnNet(net);
}
private string PackLine(LearningPattern pattern)
{
/*var sb = new StringBuilder();
foreach(var input in pattern.)
int inputOutputSeparator = line.IndexOf(_inputOutputSeparator);
string inputsPart = line.Substring(0, inputOutputSeparator);
string outputsPart = line.Substring(inputOutputSeparator + 1, line.Length - inputOutputSeparator - 1);
if (inputsPart == "" || outputsPart == "")
return null;
const char numbersSeparator = _numbersSeparator;
var inputsNumbers = inputsPart.Split(numbersSeparator);
var inputs = inputsNumbers.Select(_parser.Parse).ToList();
var outputsNumbers = outputsPart.Split(numbersSeparator);
var outputs = outputsNumbers.Select(_parser.Parse).ToList();
return new LearningPattern(inputs, outputs);*/
return "";
}
