Solutions to the detailed problems of G -type amplifier is proposed such as switching disturbance, loss and speed which are particular to G-type amplifier.
对G类功放特有的切换干扰、损耗和速度等细节问题指出了解决方案。
2
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。
3
Line 1 declares your graph, called g, and its type (a digraph).