dynamic_bns
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- | Bayesian Networks usually represent a static state of the studied system, and feedback loops cannot be incorporated. To take into account changes over time, including feedbacks, we can use dynamic | + | ====Iterative |
- | For example, when modelling carbon storage | + | Bayesian Networks usually represent a static state of the studied system, and **feedback loops** cannot be incorporated. To take into account changes |
- | In gBay, we create such a dynamic BN by specifying links across time steps. To do this, click the option “Link” on the output node that should feed into the input of the next time step (Biomass1). An orange arrow will appear, which should be connected to the corresponding input node (Biomass). | + | For example, when modelling carbon storage over time, we start with an estimate of the forest biomass at the beginning of the first time step (// |
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+ | In gBay, we create such a dynamic BN by specifying links across time steps. To do this, click the option | ||
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dynamic_bns.1545062869.txt.gz · Last modified: 2023/04/21 15:30 (external edit)