/// <summary>
/// Save Current AIML Data to File work on this Script
/// </summary>
/// <param name="s_Link"></param>
public void File_Save(string s_Link)
{
Class_FileIO myFile = new Class_FileIO();
myFile.FileSet_Write_Add("LayerCount:");
myFile.FileSet_Write_Add(this.i_LayerCount);
myFile.FileSet_Write_Add("NeuralCount:");
for (int lay = 0; lay < i_LayerCount; lay++)
{
myFile.FileSet_Write_Add(this.li_NeuralCount[lay]);
//Lưu Number of Neural of Layer
}
myFile.FileSet_Write_Add("Bias:");
for (int lay = 0; lay < i_LayerCount - 1; lay++)
{
myFile.FileSet_Write_Add(this.li_Bias[lay]);
//Lưu Bias of Layer
}
myFile.FileSet_Write_Add("Weight:");
for (int lay = 0; lay < i_LayerCount - 1; lay++)
{
//Xét fromng Layer (L-1)
for (int neuY = 0; neuY < li_NeuralCount[lay + 1]; neuY++)
{
//Xét fromng Neural Y of Layer (L)
for (int neuX = 0; neuX < li_NeuralCount[lay]; neuX++)
{
//Xét fromng Neural X of Layer (L-1)
myFile.FileSet_Write_Add(this.li3_Weight[lay][neuY][neuX]);
//Lưu Weight of Layer
}
}
}
//for (int neu = 0; neu < li_NeuralCount[0]; neu++)
//{
// myFile.FileSet_Write_Add(BrainGet_Input()[neu]);
// //Lưu Input
//}
//for (int neu = 0; neu < li_NeuralCount[i_LayerCount - 1]; neu++)
//{
// myFile.FileSet_Write_Add(BrainGet_Desired()[neu]);
// //Lưu Desired
//}
//myFile.FileSet_Write_Add(BrainGet_ErrorTotal());
////Lưu Error Total
//myFile.FileSet_Write_Add(BrainGet_LoopLearned());
////Lưu Loop Learning
myFile.FileSet_Write_Add("Comment:");
myFile.FileSet_Write_Add(li_Comment_dou.Count);
//myFile.FileWrite(li_Comment_str.Count);
//two List of này có cùng Number of phần tử
for (int i = 0; i < li_Comment_dou.Count; i++)
{
myFile.FileSet_Write_Add(li_Comment_str[i]);
myFile.FileSet_Write_Add(li_Comment_dou[i]);
//Lưu Imformation
}
//Kích hoạt lưu File
myFile.FileActive_Write_Start(s_Link);
}
/// <summary>
/// Read AIML Data from File work on this Script
/// </summary>
/// <param name="s_Link"></param>
public void File_Open(string s_Link)
{
Class_FileIO myFile = new Class_FileIO();
//Kích hoạt đọc File
myFile.FileActive_Read_Start(s_Link);
string t;
t = myFile.FileGet_Read_Auto_String();
int LayerCount = myFile.FileGet_Read_Auto_Int();
Set_LayerCount(LayerCount);
t = myFile.FileGet_Read_Auto_String();
for (int lay = 0; lay < LayerCount; lay++)
{
Set_NeuralCount(lay, myFile.FileGet_Read_Auto_Int());
//Ghi Number of Neural of Layer
}
//Debug.Log("Create");
Set_NeuralNetworkCreate(false);
//Debug.Log("Weight");
t = myFile.FileGet_Read_Auto_String();
for (int lay = 0; lay < i_LayerCount - 1; lay++)
{
Set_Bias(lay, myFile.FileGet_Read_Auto_Float());
//Ghi Bias of Layer
}
t = myFile.FileGet_Read_Auto_String();
for (int lay = 0; lay < i_LayerCount - 1; lay++)
{
//Xét fromng Layer (L-1)
for (int neuY = 0; neuY < li_NeuralCount[lay + 1]; neuY++)
{
//Xét fromng Neural Y of Layer (L)
for (int neuX = 0; neuX < li_NeuralCount[lay]; neuX++)
{
//Xét fromng Neural X of Layer (L-1)
//Debug.Log(lay + " " + neuY + " " + neuX + " : " + this.li3_Weight[lay][neuY][neuX]);
//this.li3_Weight[lay][neuY][neuX] = myFile.FileGet_Read_Auto_Float();
Set_Weight(lay, neuY, neuX, myFile.FileGet_Read_Auto_Float());
//Ghi Weight of Layer
}
}
}
//for (int neu = 0; neu < li_NeuralCount[0]; neu++)
//{
// BrainSet_Input(neu, myFile.FileGet_Read_Auto_Float());
// //Ghi Input
//}
//for (int neu = 0; neu < li_NeuralCount[i_LayerCount - 1]; neu++)
//{
// BrainSet_Desired(neu, myFile.FileGet_Read_Auto_Float());
// //Ghi Desired
//}
//this.f_ErrorTotal = myFile.FileGet_Read_Auto_Float();
////Ghi Error Total
//this.i_LoopLearning = myFile.FileGet_Read_Auto_Int();
////Ghi Loop Learning
t = myFile.FileGet_Read_Auto_String();
int CommentCount = myFile.FileGet_Read_Auto_Int();
//myFile.FileReader(li_Comment_str.Count);
//two List of này có cùng Number of phần tử
for (int i = 0; i < CommentCount; i++)
{
li_Comment_str.Add(myFile.FileGet_Read_Auto_String());
li_Comment_dou.Add(myFile.FileGet_Read_Auto_Float());
//Ghi Imformation
}
}
//Get Error Total sau khi chạy FeedForward và trước khi chạy BackPropagation
//public float BrainGet_ErrorTotal()
//{
// return f_ErrorTotal;
//}
//Get số lần đã chạy BackPropagation
//public int BrainGet_LoopLearned()
//{
// return i_LoopLearning;
//}
//---------------------------------------------------------------------------- File
/// <summary>
/// Check AIML File Exist
/// </summary>
/// <param name="s_Link"></param>
/// <returns></returns>
public bool File_Check(string s_Link)
{
Class_FileIO myFile = new Class_FileIO();
return(myFile.Get_FileExist(s_Link));
}
