static void Main(string[] args)
{
double[][] Data = new double[][] {
new double[] { 1, 5 },
new double[] { 3, 5 },
new double[] { 2, 4 },
new double[] { 7, 4 },
new double[] { 2, 3 },
new double[] { 5, 5 },
new double[] { 1, 7 },
new double[] { 1, 3 }
};
/*
* double[][] Answer = new double[][] {
* new double[] { 0,0,0 },
* new double[] { 0,1,0 },
* new double[] { 0,1,0 },
* new double[] { 1,0,0 },
* new double[] { 0,1,0 },
* new double[] { 1,0,0 },
* new double[] { 1,0,0 },
* new double[] { 1,1,0 },
* };
*/
double[][] Answer = new double[8][];
for (int i = 0; i < 8; i++)
{
Answer[i] = new double[] { Sum(Data[i]) }
}
;
int TrainNumber = 10000; //学習回数
int DataNumber = 8;
Neural Tissue = new Neural(2, 2, 1);
for (int TrainCount = 0; TrainCount < TrainNumber; TrainCount++)
{
for (int DataCount = 0; DataCount < 8; DataCount++)
{
Tissue.ForwardPropagation(Data[DataCount], Answer[DataCount]);
Tissue.BackPropagation(Data[DataCount], Answer[DataCount]);
}
if (TrainCount % 10 == 0)
{
Console.WriteLine("TrainCount : " + TrainCount.ToString().PadLeft(5, ' ') + ", Error : " + Tissue.GetError().ToString().PadLeft(15, ' '));
}
else
{
Tissue.Error = 0;
}
}
Console.WriteLine("Train Finished");
for (int DataCount = 0; DataCount < DataNumber; DataCount++)
{
Console.Write("\nInput : ");
foreach (double inp in Data[DataCount])
{
Console.Write(inp + ":");
}
Console.Write("\nRight answer :");
foreach (double ans in Answer[DataCount])
{
Console.Write(ans.ToString().PadLeft(20, ' ') + ":");
}
Console.Write("\nPredicted answer:");
foreach (double pre in Tissue.ForwardPropagation(Data[DataCount], Answer[DataCount]))
{
Console.Write(pre.ToString().PadLeft(20, ' ') + ":");
}
Console.WriteLine();
}
Console.WriteLine("\nエラー率:" + Tissue.GetError());
for (int i = 0; i < Tissue.Weigth_to_hi.GetLength(0); i++)
{
for (int j = 0; j < Tissue.Weigth_to_hi.GetLength(1); j++)
{
Console.WriteLine(string.Format("Weigth[{0},{1}] = {2}", i, j, Tissue.Weigth_to_hi[i, j]));
}
}
for (int i = 0; i < Tissue.Bias_to_hi.Length; i++)
{
Console.WriteLine(string.Format("Bias[{0}] = {1}", i, Tissue.Bias_to_hi[i]));
}
Console.WriteLine("------------------");
for (int i = 0; i < Tissue.Weigth_to_ou.GetLength(0); i++)
{
for (int j = 0; j < Tissue.Weigth_to_ou.GetLength(1); j++)
{
Console.WriteLine(string.Format("Weigth[{0},{1}] = {2}", i, j, Tissue.Weigth_to_ou[i, j]));
}
}
for (int i = 0; i < Tissue.Bias_to_ou.Length; i++)
{
Console.WriteLine(string.Format("Bias[{0}] = {1}", i, Tissue.Bias_to_ou[i]));
}
Console.WriteLine("Finished");
Console.ReadLine();
}
static void Main_(string[] args)
{
Neural n = new Neural(4, 6, 3);
double[][] InputData = new double[][] {
new double[] { 0.0, 0.0, 0.0, 0.0 },
new double[] { 0.0, 0.0, 0.0, 1.0 },
new double[] { 0.0, 0.0, 1.0, 0.0 },
new double[] { 0.0, 0.0, 1.0, 1.0 },
new double[] { 0.0, 1.0, 0.0, 0.0 },
new double[] { 0.0, 1.0, 0.0, 1.0 },
new double[] { 0.0, 1.0, 1.0, 0.0 },
new double[] { 0.0, 1.0, 1.0, 1.0 },
/*
* new double[] { 1.0, 0.0, 0.0, 0.0},
* new double[] { 1.0, 0.0, 0.0, 1.0},
* new double[] { 1.0, 0.0, 1.0, 0.0},
* new double[] { 1.0, 0.0, 1.0, 1.0},
* new double[] { 1.0, 1.0, 0.0, 0.0},
* new double[] { 1.0, 1.0, 0.0, 1.0},
* new double[] { 1.0, 1.0, 1.0, 0.0},
* //new double[] { 1.0, 1.0, 1.0, 1.0},
*/
};
/*
* double[][] InputData = new double[][] {
* new double[] { 0.0, 0.0},
* new double[] { 1.0, 0.0},
* new double[] { 0.0, 1.0},
* new double[] { 1.0, 1.0},
* };
* double[][] Answer = new double[][] {
* new double[] { 0.0},
* new double[] { 1.0},
* new double[] { 1.0},
* new double[] { 0.0},
* };
*/
double[][] Answer = new double[][] {
new double[] { 0.0, 0.0, 0.0 },
new double[] { 0.0, 0.0, 1.0 },
new double[] { 0.0, 0.0, 1.0 },
new double[] { 0.0, 1.0, 0.0 },
new double[] { 0.0, 0.0, 1.0 },
new double[] { 0.0, 1.0, 0.0 },
new double[] { 0.0, 1.0, 0.0 },
new double[] { 0.0, 1.0, 1.0 },
/*
* new double[] { 0.0, 0.0, 1.0 },
* new double[] { 0.0, 1.0, 0.0 },
* new double[] { 0.0, 1.0, 0.0 },
* new double[] { 0.0, 1.0, 1.0 },
* new double[] { 0.0, 1.0, 0.0 },
* new double[] { 0.0, 1.0, 1.0 },
* new double[] { 0.0, 1.0, 1.0 },
* //new double[] { 1.0, 0.0, 0.0 },
*/
/*
* new double[] { 1.0, 0.0, 0.0, 0.0},
* new double[] { 1.0, 0.0, 0.0, 1.0},
* new double[] { 1.0, 0.0, 1.0, 0.0},
* new double[] { 1.0, 0.0, 1.0, 1.0},
* new double[] { 1.0, 1.0, 0.0, 0.0},
* new double[] { 1.0, 1.0, 0.0, 1.0},
* new double[] { 1.0, 1.0, 1.0, 0.0},
* new double[] { 1.0, 1.0, 1.0, 1.0},
*/
};
//double[][] InputData = new double[32][];
/*
* double[][] Answer = new double[][] {
* new double[]{ 0.0 },
* new double[]{ 1.0 },
* new double[]{ 1.0 },
* new double[]{ 0.0 },
* };
*/
int DataNumber = 8;
int UnitNumber = 3;
for (int i = 0; i < 1000; i++)
{
for (int j = 0; j < DataNumber; j++)
{
n.ForwardPropagation(InputData[j], Answer[j]);
n.BackPropagation(InputData[j], Answer[j]);
}
//Console.WriteLine(n.GetError());
}
Console.WriteLine("Train Finished");
double[,] Output = new double[DataNumber, UnitNumber];
double[] Average = new double[UnitNumber];
for (int i = 0; i < DataNumber; i++)
{
double[] Tmp = n.ForwardPropagation(InputData[i], Answer[i]);
for (int j = 0; j < UnitNumber; j++)
{
Output[i, j] = Tmp[j];
Average[j] += Tmp[j];
}
}
//Average[0] /= DataNumber;
//Average[1] /= DataNumber;
for (int i = 0; i < DataNumber; i++)
{
for (int count = 0; count < UnitNumber; count++)
{
Console.Write(Math.Abs(Answer[i][count] - Output[i, count]).ToString().PadRight(20, ' ') + " :");
}
Console.WriteLine();
/*
* foreach(double x in InputData[i]) {
* Console.Write(x + ":");
* }
* Console.WriteLine();
*
* foreach (double x in Answer[i]) {
* Console.Write(x + ":");
* }
* Console.WriteLine();
*
* for (int j = 0; j < 2; j++)
* Console.Write(Output[i, j] + ":");
* Console.WriteLine();
*
* Console.WriteLine("\n");
*/
/*
* for (int j = 0; j < 2; j++)
* Console.Write((Output[i, j] > Average[j] ? 1 : 0) + ":");
* Console.WriteLine("\n");
*/
/*
* for(int j = 0;j < 2; j++) {
* Console.Write(Math.Abs(Answer[i][j] - Output[i, j]) + ":");
* }
* Console.WriteLine();
*/
}
Console.WriteLine("Finished");
Console.ReadLine();
}
