internal BetaSimilarity(Unit beta, SimilarityMeasure similarity)
{
_beta = beta;
Similarity = similarity;
//Ensuring that beta will be positive
_b = Math.Exp(_beta.Value);
BetaSimilarityMeasure = new Unit(_b * Similarity.Similarity.Value);
}
internal BetaSimilarity(Unit beta, SimilarityMeasure similarity)
{
_beta = beta;
Similarity = similarity;
//Ensuring that beta will be positive
_b = Math.Exp(_beta.Value);
BetaSimilarityMeasure = new Unit(_b * Similarity.Similarity.Value);
}
internal MemoryState Process(Head[] heads)
{
int headCount = heads.Length;
int memoryColumnsN = _memory.CellCountN;
ReadData[] newReadDatas = new ReadData[headCount];
HeadSetting[] newHeadSettings = new HeadSetting[headCount];
for (int i = 0; i < headCount; i++)
{
Head head = heads[i];
BetaSimilarity[] similarities = new BetaSimilarity[_memory.CellCountN];
for (int j = 0; j < memoryColumnsN; j++)
{
Unit[] memoryColumn = _memory.Data[j];
SimilarityMeasure similarity = new SimilarityMeasure(new CosineSimilarityFunction(), head.KeyVector, memoryColumn);
similarities[j] = new BetaSimilarity(head.Beta, similarity);
}
ContentAddressing ca = new ContentAddressing(similarities);
GatedAddressing ga = new GatedAddressing(head.Gate, ca, _headSettings[i]);
ShiftedAddressing sa = new ShiftedAddressing(head.Shift, ga);
newHeadSettings[i] = new HeadSetting(head.Gamma, sa);
newReadDatas[i] = new ReadData(newHeadSettings[i], _memory);
}
NTMMemory newMemory = new NTMMemory(newHeadSettings, heads, _memory);
return new MemoryState(newMemory, newHeadSettings, newReadDatas);
}
