private bool SymbolIsRecognised(IReadOnlyList <int> networkBipolarOutput)
{
for (var symbolIndex = 0; symbolIndex < NumberOfStoredSymbols; symbolIndex++)
{
int[] valuesOfLearnedSymbol = _learnedSymbols[symbolIndex].ConvertToOneDimensionalArray();
var symbolIsRecognised = true;
for (var symbolValueIndex = 0; symbolValueIndex < NumberOfNeurons; symbolValueIndex++)
{
if (valuesOfLearnedSymbol[symbolValueIndex] != networkBipolarOutput[symbolValueIndex])
{
symbolIsRecognised = false;
break;
}
}
if (symbolIsRecognised)
{
return(true);
}
symbolIsRecognised = true;
for (var symbolValueIndex = 0; symbolValueIndex < NumberOfNeurons; symbolValueIndex++)
{
if (valuesOfLearnedSymbol[symbolValueIndex] != BipolarSymbol.InverseValue(networkBipolarOutput[symbolValueIndex]))
{
symbolIsRecognised = false;
break;
}
}
if (symbolIsRecognised)
{
return(true);
}
}
return(false);
}
public bool TryRecognise(BipolarSymbol symbolToRecognise)
{
return(Recognise(symbolToRecognise.ConvertToOneDimensionalArray()));
}