Waste

This example is the well known Waste Bayesian network. This is a hybrid network containing both discrete and continuous variables.

This site is now deprecated. For online Bayesian networks, please see the Bayes Server Online App or for offline software please download the Desktop version.

}} >Burning RegimenStable85.00%Unstable15.00%Filter stateIntact95.00%Defect5.00%Waste typeIndustrial28.57%Household71.43%CO2 concentrationMean-1.850Variance0.258Filter efficiencyMean-3.254Variance0.503Metals in wasteMean-0.214Variance0.211Light penetrabilityMean1.480Variance0.398Dust emissionMean3.039Variance0.593Metals emissionMean2.825Variance0.740