动态贝叶斯网络（Dynamic Bayesian Network, DBN），是一个随着毗邻时间步骤把不同变量联系起来的贝叶斯网络。这通常被叫做“两个时间片”的贝叶斯网络，因为DBN在任意时间点T，变量的值可以从内在的回归量和直接先验值（time T-1）计算。(Dynamic Bayesian Network (DBN) is a Bayesian network that links different variables with adjacency time steps. This is usually called the "two time slices" of the Bayesian network, since the DBN at any time point T, the value of the variable can be calculated from the intrinsic regression amount and the direct transcendental value (time T-1).)