static void Main(string[] args)
{
//0.1399,0.1467,0.1567,0.1595,0.1588,0.1622,0.1611,0.1615,0.1685,0.1789,0.1790
// double [,] p1=new double[,]{{0.05,0.02},{0.09,0.11},{0.12,0.20},{0.15,0.22},{0.20,0.25},{0.75,0.75},{0.80,0.83},{0.82,0.80},{0.90,0.89},{0.95,0.89},{0.09,0.04},{0.1,0.1},{0.14,0.21},{0.18,0.24},{0.22,0.28},{0.77,0.78},{0.79,0.81},{0.84,0.82},{0.94,0.93},{0.98,0.99}};
// double [,] t1=new double[,]{{1,0},{1,0},{1,0},{1,0},{1,0},{0,1},{0,1},{0,1},{0,1},{0,1},{1,0},{1,0},{1,0},{1,0},{1,0},{0,1},{0,1},{0,1},{0,1},{0,1}};
double[,] p1 = new double[, ] {
{ 0.1399, 0.1467, 0.1567, 0.1595, 0.1588, 0.1622 }, { 0.1467, 0.1567, 0.1595, 0.1588, 0.1622, 0.1611 }, { 0.1567, 0.1595, 0.1588, 0.1622, 0.1611, 0.1615 }, { 0.1595, 0.1588, 0.1622, 0.1611, 0.1615, 0.1685 }, { 0.1588, 0.1622, 0.1611, 0.1615, 0.1685, 0.1789 }
};
double[,] t1 = new double[, ] {
{ 0.1622 }, { 0.1611 }, { 0.1615 }, { 0.1685 }, { 0.1789 }, { 0.1790 }
};
BpNet bp = new BpNet(p1, t1);
int study = 0;
do
{
study++;
bp.train(p1, t1);
// bp.rate=0.95-(0.95-0.3)*study/50000;
// Console.Write("第 "+ study+"次学习： ");
// Console.WriteLine(" 均方差为 "+bp.e);
} while (bp.e > 0.001 && study < 50000);
Console.Write("第 " + study + "次学习： ");
Console.WriteLine(" 均方差为 " + bp.e);
bp.saveMatrix(bp.w, "w.txt");
bp.saveMatrix(bp.v, "v.txt");
bp.saveMatrix(bp.b1, "b1.txt");
bp.saveMatrix(bp.b2, "b2.txt");
// double [,] p2=new double[,]{{0.05,0.02},{0.09,0.11},{0.12,0.20},{0.15,0.22},{0.20,0.25},{0.75,0.75},{0.80,0.83},{0.82,0.80},{0.90,0.89},{0.95,0.89},{0.09,0.04},{0.1,0.1},{0.14,0.21},{0.18,0.24},{0.22,0.28},{0.77,0.78},{0.79,0.81},{0.84,0.82},{0.94,0.93},{0.98,0.99}};
double[,] p2 = new double[, ] {
{ 0.1399, 0.1467, 0.1567, 0.1595, 0.1588, 0.1622 }, { 0.1622, 0.1611, 0.1615, 0.1685, 0.1789, 0.1790 }
};
int aa = bp.inNum;
int bb = bp.outNum;
int cc = p2.GetLength(0);
double[] p21 = new double[aa];
double[] t2 = new double[bb];
for (int n = 0; n < cc; n++)
{
for (int i = 0; i < aa; i++)
{
p21[i] = p2[n, i];
}
t2 = bp.sim(p21);
for (int i = 0; i < t2.Length; i++)
{
Console.WriteLine(t2[i] + " ");
}
}
Console.ReadLine();
}
public static void pretect()
{
Console.WriteLine("预测开始...");
BpNet bp = new BpNet();
bp.readParas("para.txt");
bp.initial();
bp.readMatrixW(bp.w, "w.txt");
bp.readMatrixW(bp.v, "v.txt");
bp.readMatrixB(bp.b1, "b1.txt");
bp.readMatrixB(bp.b2, "b2.txt");
// double[,] p2 = new double[,] { { 85, 105 }, { 314, 309 } };
double[,] p2 = new double[, ] {
{ 126, 109 }, { 213, 215 }, { 155, 334 }
};
int aa = bp.inNum;
int bb = bp.outNum;
int cc = p2.GetLength(0);
double[] p21 = new double[aa];
double[] t2 = new double[bb];
for (int n = 0; n < cc; n++)
{
for (int i = 0; i < aa; i++)
{
p21[i] = p2[n, i];
}
t2 = bp.sim(p21);
for (int i = 0; i < t2.Length; i++)
{
Console.WriteLine("预测数据" + n.ToString() + "： " + t2[i] + " ");
}
Console.WriteLine("\n");
}
Console.ReadLine();
}