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; }