• Your shopping cart is empty!

  • AWWA ACE65187
Provide PDF Format

Learn More

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

$12.00$24.00


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.

Product Details

Edition:
Vol. - No.
Published:
06/01/2007
Number of Pages:
1
File Size:
1 file

Related Products

AWWA WKICO66044

AWWA WKICO66044

Treatment of Perchlorate at Low Concentrations in Groundwater to Potable Standards Using a Full-Scal..

$12.00 $24.00

AWWA JAW28475

AWWA JAW28475

Journal AWWA - Characterizing Surface Waters That May Not Require Filtration..

$15.00 $30.00

AWWA WQTC65833

AWWA WQTC65833

Installation of a High Rate Magnetic Ion Exchange Process to Bring a Groundwater System into Complia..

$12.00 $24.00

AWWA ACE71049

AWWA ACE71049

Water Quality Impact on Pipe Roughness Coefficient and Water System Capacity: Testing, Calibration a..

$12.00 $24.00