| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322881 | Expert Systems with Applications | 2011 | 7 Pages |
Abstract
⺠The bacterium Legionella usually lives in water sources such as cooling towers. ⺠We discuss a probabilistic expert system for predicting the risk of Legionella. ⺠The expert system has a master-slave architecture. ⺠The inference engine is implemented through Bayesian reasoning. ⺠Bayesian networks model and connect relationships for chemical and physical variables.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Carmen Armero, Alejandro Artacho, Antonio López-QuÃlez, Francisco Verdejo,