| protected InitRandom ( int ninput, int nhidden, int noutput ) : void | ||
| ninput | int | |
| nhidden | int | |
| noutput | int | |
| return | void | |
public void ChangeHidden(int newn)
{
MlpClassifier temp = new MlpClassifier();
int ninput = w1.Dim(1);
int nhidden = w1.Dim(0);
int noutput = w2.Dim(0);
temp.InitRandom(ninput, newn, noutput);
for (int i = 0; i < newn; i++)
{
if (i >= nhidden)
{
for (int j = 0; j < ninput; j++)
{
temp.w1[i, j] = ClassifierUtil.rNormal(0.0f, 1.0f);
}
temp.b1[i] = ClassifierUtil.rNormal(0.0f, 1.0f);
}
else
{
for (int j = 0; j < ninput; j++)
{
temp.w1[i, j] = w1[i, j];
}
temp.b1[i] = b1[i];
}
}
for (int i = 0; i < noutput; i++)
{
for (int j = 0; j < newn; j++)
{
if (j >= nhidden)
{
temp.w2[i, j] = 1e-2f * ClassifierUtil.rNormal(0.0f, 1.0f);
}
else
{
temp.w2[i, j] = w2[i, j];
}
}
}
this.Copy(temp);
}
public void ChangeHidden(int newn)
{
MlpClassifier temp = new MlpClassifier();
int ninput = w1.Dim(1);
int nhidden = w1.Dim(0);
int noutput = w2.Dim(0);
temp.InitRandom(ninput, newn, noutput);
for (int i = 0; i < newn; i++)
{
if (i >= nhidden)
{
for (int j = 0; j < ninput; j++)
temp.w1[i, j] = ClassifierUtil.rNormal(0.0f, 1.0f);
temp.b1[i] = ClassifierUtil.rNormal(0.0f, 1.0f);
}
else
{
for (int j = 0; j < ninput; j++)
temp.w1[i, j] = w1[i, j];
temp.b1[i] = b1[i];
}
}
for (int i = 0; i < noutput; i++)
{
for (int j = 0; j < newn; j++)
{
if (j >= nhidden)
{
temp.w2[i, j] = 1e-2f * ClassifierUtil.rNormal(0.0f, 1.0f);
}
else
{
temp.w2[i, j] = w2[i, j];
}
}
}
this.Copy(temp);
}
