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AWWA ACE65187
- Prediction of Disinfection Byproducts Formed in Water Treatment Using Decomposable Markov Network Theory
- Conference Proceeding by American Water Works Association, 06/01/2007
- Publisher: AWWA
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The objective of this research was to develop newpredictive models for disinfection byproduct (DBP) prediction and prevention based on decomposable Markov networks (DMNs). The poster paper provides information on how DMN technology operates, construction of DMN, application to water quality including application scenarios, dataset training, extract DMN from training data, and value inference for the hidden data. The paper includes results of experiments and conclusions. Includes 6 references, table, figures.
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