In addition, a new accelerating genetic operator was introduced to improve the convergence of GNN.

另外，设计了一个新的加速遗传算子，可以提高实数遗传算法的收敛速度。

In this paper, the function approximation of Gelenbe Neural Network (GNN) is discussed and it is proved that GNN can approximate any G-type polynomial by using constructional method.

该文研究了G神经网络的函数映射能力，给出了前馈g神经网络映射任意G型多项式的构造性证明。