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。