Prediction Algorithm for State Prediction Model
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Title | Prediction Algorithm for State Prediction Model |
Authors | |
Abstract | 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. |
Publisher | ACADEMY PUBLISHER |
Date | 2012-02-01 |
Source | Journal of Computers Vol 7, No 2 (2012) |
Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |