/**
* Given the 64 bit OCR data for binarised image and the
* expected outcome value, tests the network for a correct output.
*
* Runs the 64 bit inputs through the network and checks
* which output it gets.
*
* @param character: OCRCharacter obj with 64 bit numeric inputs
* representing the OCR data & identifier.
* @return good or bad (true or false).
*/
public bool recallNetwork(OCRCharacter character)
{
// Populate the input neurons. //
int answer = character.getIdentifier();
int index = recallNetworkGuess(character);
bool correct = index == answer ? true : false;
// Output feedback
Console.WriteLine("Input data for: " + answer + " / output: "
+ index + " (" + answer + ")" + " correct: " + correct);
return(correct);
}
/**
* Given a a list of neighbouring characters, checks which character kind has
* the most frequent occurrence (majority)
* @param neighbors
* @param useDistanceScore: True use scoring based on euclidean distance for
* classification, False uses majority votes.
* @return charIdentifier: character which has highest majority.
*/
private static int classify(List <OCRCharacter> neighbors, bool useDistanceScore)
{
Dictionary <int, double> charOccurenceList = new Dictionary <int, double>();
int num = neighbors.Count;
for (int index = 0; index < num; index++)
{
OCRCharacter temp = neighbors[index];
int key = temp.getIdentifier();
// If character kind has not been added yet.
if (!charOccurenceList.ContainsKey(key))
{
// Best practise is to add the total distance of the neighbour char type as score value.
if (useDistanceScore)
{
charOccurenceList.Add(key, 1 / temp.distance);
}
else
{
charOccurenceList.Add(key, 1.0);
}
}
// If already added, add occurence majority vote
else
{
double value = charOccurenceList[key];
// Best practise is to add the total distance of the neighbour char type as score value.
if (useDistanceScore)
{
value += 1 / temp.distance;
}
else
{
value += 1.0;
}
charOccurenceList[key] = value; // update existing value + 1
}
}
// Check which kind of identifiers have the most of the same type
double majorityScore = 0;
int charIdentifier = -1;
// Loop and determine which char identifier scored the highest
foreach (KeyValuePair <int, double> entry in charOccurenceList)
{
int identifier = entry.Key;
double value = entry.Value;
if (value > majorityScore)
{
majorityScore = value;
charIdentifier = identifier;
}
}
return(charIdentifier);
}