private void P2odmXxb0()
{
this.x0pBGNZNEv = new TInputNeuron[this.fNInput];
for (int index = 0; index < this.fNInput; ++index)
{
this.x0pBGNZNEv[index] = new TInputNeuron();
}
this.C4gBBYR9YW = new TKohonenNeuron[this.crqUrCA6J, this.R00zPKwYO];
for (int Col = 0; Col < this.crqUrCA6J; ++Col)
{
for (int Row = 0; Row < this.R00zPKwYO; ++Row)
{
this.C4gBBYR9YW[Col, Row] = new TKohonenNeuron(this, Col, Row);
}
}
for (int index1 = 0; index1 < this.fNInput; ++index1)
{
for (int index2 = 0; index2 < this.crqUrCA6J; ++index2)
{
for (int index3 = 0; index3 < this.R00zPKwYO; ++index3)
{
this.C4gBBYR9YW[index2, index3].Connect((TNeuron)this.x0pBGNZNEv[index1]);
}
}
}
this.NZFB8Hsyyk = (Histogram2D)null;
this.lHWBj2LFHb = (Graph)null;
this.M7SYu5gxf = EKohonenTopology.Rectangular;
this.a8fxHLKhg = EKohonenKernel.Bubble;
this.g5ykpFFS7 = 0.05;
this.yem372767 = 10.0;
}
private void P2odmXxb0()
{
this.x0pBGNZNEv = new TInputNeuron[this.fNInput];
for (int index = 0; index < this.fNInput; ++index)
this.x0pBGNZNEv[index] = new TInputNeuron();
this.C4gBBYR9YW = new TKohonenNeuron[this.crqUrCA6J, this.R00zPKwYO];
for (int Col = 0; Col < this.crqUrCA6J; ++Col)
{
for (int Row = 0; Row < this.R00zPKwYO; ++Row)
this.C4gBBYR9YW[Col, Row] = new TKohonenNeuron(this, Col, Row);
}
for (int index1 = 0; index1 < this.fNInput; ++index1)
{
for (int index2 = 0; index2 < this.crqUrCA6J; ++index2)
{
for (int index3 = 0; index3 < this.R00zPKwYO; ++index3)
this.C4gBBYR9YW[index2, index3].Connect((TNeuron) this.x0pBGNZNEv[index1]);
}
}
this.NZFB8Hsyyk = (Histogram2D) null;
this.lHWBj2LFHb = (Graph) null;
this.M7SYu5gxf = EKohonenTopology.Rectangular;
this.a8fxHLKhg = EKohonenKernel.Bubble;
this.g5ykpFFS7 = 0.05;
this.yem372767 = 10.0;
}
