//communicate with perceptrons
private String forwardPropagateData(float word, float lastWordSet)
{
float value = 0.0F;
//iterate over neural net
float[] inputs = new float[] { word, lastWordSet };
for (int index = 1; index < perceptrons.Count; index++)
{
List <Perceptron> layer = perceptrons[index];
float[] inputsBuffer = new float[layer.Count];
int perceptronIndex = 0;
foreach (Perceptron p in layer)
{
inputsBuffer[perceptronIndex] = p.output(inputs);
perceptronIndex++;
}
//feed forward
inputs = inputsBuffer;
}
value = (float)Math.Round(inputs[0] / 100, 2);
value = Map(value, 0, 5, 0.00F, ChatbotCore.loadedDataBase.Count * ChatbotCore.dataBaseWordOffset);
value = (float)Math.Round(inputs[0], 2);
Console.WriteLine(value);
return(ChatbotCore.NumberToWord(value));
}
//output data
public String OutputDataFromNetwork(String data)
{
List <String> returnMessage = new List <String>();
//parse words
String wordToAddToList = "";
List <String> wordList = new List <String>();
for (int index = 0; index < data.Length; index++)
{
String c = data.Substring(index, 1);
if (c.Equals(" "))
{
wordList.Add(wordToAddToList);
wordToAddToList = "";
}
else
{
wordToAddToList += c;
}
}
wordList.Add(wordToAddToList);
//add words that to database that aren't in it
foreach (String word in wordList)
{
if (!ChatbotCore.loadedDataBase.ContainsKey(word))
{
ChatbotCore.AddWordToDataBase(word);
}
if (returnMessage.Count > 0)
{
returnMessage.Add(forwardPropagateData(ChatbotCore.WordToNumber(word), ChatbotCore.WordToNumber(returnMessage[returnMessage.Count - 1])));
}
else
{
returnMessage.Add(forwardPropagateData(ChatbotCore.WordToNumber(word), -1));
}
}
//return text
String r = "";
foreach (String word in returnMessage)
{
r += word + " ";
}
//return text
return(r);
}
//train perceptrons
public void trainPerceptrons(String user1Words, String user2Words)
{
//iterate over words
List <String> inputWords = new List <String>();
List <String> targetWords = new List <String>();
String currentWord = "";
for (int index = 0; index < user1Words.Length; index++)
{
String c = user1Words.Substring(index, 1);
if (c.Equals(" "))
{
inputWords.Add(currentWord);
currentWord = "";
}
else
{
currentWord += c;
}
}
for (int index = 0; index < user2Words.Length; index++)
{
String c = user2Words.Substring(index, 1);
if (c.Equals(" "))
{
targetWords.Add(currentWord);
currentWord = "";
}
else
{
currentWord += c;
}
}
//iterate over longer list of words for training
for (int index = 0; index < (inputWords.Count > targetWords.Count ? targetWords.Count : inputWords.Count); index++)
{
float inputWord = ChatbotCore.WordToNumber(inputWords[index]);
float targetWord = ChatbotCore.WordToNumber(targetWords[index]);
backPropagateData(inputWord, targetWord);
}
}