Discrete-Time Bayesian Networks 离散时间贝叶斯网络
discrete-time neural networks 离散神经网络
discrete-time Cellular Neural Networks 离散细胞神经网络
discrete time cellular neural networks 时间离散细胞神经网络
discrete-time Hopfield neural networks 离散Hopfield神经网络
This dissertation aims at the study of dynamical properties of discrete-time dynamical systems, which include difference equations and discrete neural networks.
本文主要针对离散时间动力系统的动力学性质研究，包括差分方程及离散人工神经网络两个方面的研究。
A new dynamic fault tree analysis method based on discrete-time Bayesian networks is proposed.
提出了一种基于离散时间贝叶斯网络的动态故障树分析方法。
The global asymptotic stability for a class of uncertain delayed cellular neural networks (DCNN) with discrete and distributed time-varying delays is studied in this paper.
研究了一类带有离散和分布时间滞后的不确定时滞细胞神经网络(DCNN)的全局渐进稳定性。
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