A novel neural network model, named delayed standard neural network model (DSNNM), is proposed, which is the interconnection of a linear dynamic system and a bounded static delayed nonlinear operator.
提出一种新的神经网络模型—时滞标准神经网络模型(DSNNM)，它由线性动力学系统和有界静态时滞非线性算子连接而成。
By using the semigroup of bounded linear operator, a new locally convex vector topological is introduced, and some propositions of it are given.
利用有界线性算子半群，引入了一新的局部凸向量拓扑，并对其基本性质进行了讨论。
By using the C-semigroup of bounded linear operator, a new locally convex vector topological is introduced, and some propositions of it are given.
利用C -半群的概念，引入一新的局部凸向量拓扑，并对其基本性质以及在新的局部凸线性拓扑意义下c -半群的性质进行初步研究。
By using the C-semigroup of bounded linear operator, a new locally convex vector topological is introduced, and some propositions of it are given.
利用C -半群的概念，引入一新的局部凸向量拓扑，并对其基本性质以及在新的局部凸线性拓扑意义下c -半群的性质进行初步研究。
应用推荐