The topologic structure and learning algorithm of the rough neural network are given, and the approximation theorem of the rough neural network is presented.
给出了粗糙神经网络的拓朴结构和学习算法以及粗糙神经网络的逼近定理。
2
Under the new principle we provide the theorem of the existence of local Nash network and the theorem of the architecture of local Nash network and its dynamic formation process.
在新的规则之下,分别给出了局部纳什网的存在性、结构特性及其动态生成进程的定理。
3
According to Tellegen's theorem, the two states of the RLC linear network have been studied, and the orthogonal Kirchhoff modes theory is discussed in this paper.