/// <summary>
/// 获取权重（先验概率）
/// </summary>
/// <param name="key"></param>
/// <param name="ID">神经元编号</param>
/// <returns></returns>
public double GetW(string key, int ID)
{
if (!W.ContainsKey(key))
{
W.Add(key, new Dictionary <int, WMatrix>());
}
if (!W[key].ContainsKey(ID))
{
WMatrix w = new WMatrix();
w.ID = ID;
w.W = Convert.ToDouble(ID) / 10;
W[key].Add(ID, w);
}
return(W[key][ID].W);
}
/// <summary>
/// 设置权重
/// </summary>
/// <param name="key"></param>
/// <param name="ID"></param>
/// <param name="value"></param>
/// <returns></returns>
public void SetW(string key, int ID, double value)
{
if (!W.ContainsKey(key))
{
W.Add(key, new Dictionary <int, WMatrix>());
}
if (!W[key].ContainsKey(ID))
{
WMatrix w = new WMatrix();
w.ID = ID;
w.W = value;
W[key].Add(ID, w);
}
W[key][ID].W = value;
}
/// <summary>
/// 添加词频
/// </summary>
/// <param name="key"></param>
/// <param name="idCount">神经元个数</param>
/// <param name="value"></param>
public void Add(string key, int idCount, int value)
{
if (!Freq.ContainsKey(key))
{
Freq.Add(key, 1);
}
if (!W.ContainsKey(key))
{
W.Add(key, new Dictionary <int, WMatrix>());
for (int id = 1; id <= idCount; id++)
{
WMatrix w = new WMatrix();
w.ID = id;
w.W = Convert.ToDouble(id) / 10;
W[key].Add(id, w);
}
}
Freq[key] += value;
total += value;
}