%0 Journal Article
%T Prediction Algorithm for State Prediction Model
%A Zili Zhang
%A Hongwei Song
%A Yan Li
%A Hao Yang
%J Journal of Computers
%D 2012
%I Academy Publisher
%R 10.4304/jcp.7.2.507-513
%X Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors. Single-step and multi-step prediction algorithms are given to predict the system state. The multi-step state prediction algorithm is achieved by extending time-slice. In this paper, the width of the reasoning is used to simplify the amount of data in the reasoning process.
%K dynamic bayesian networks
%K state prediction model
%K single-step prediction algorithm
%K multi-step prediction algorithm
%U http://ojs.academypublisher.com/index.php/jcp/article/view/5112