Grantee Research Project Results
Selected Publications Details for Grant Number R829784
Using Neural Networks to Create New Indices and Classification Schemes
Other Views
- All
Publications - Selected
Publication Types - Journal
Articles - Publications Submitted
After Final Report - Redisplay this page without
Reference Title, Journal, and Author Columns - Display this Page
in RIS Format
| Reference Type | Reference Title | Journal | Author | Citation | Progress Report Year | Document Sources |
|---|---|---|---|---|---|---|
| Journal Article | Multivariate logistic regression for predicting total culturable virus presence at the intake of a potable-water treatment plant: novel application of the atypical coliform/total coliform ratio. | APPLIED AND ENVIRONMENTAL MICROBIOLOGY | Black LE, Brion GM, Freitas SJ | Black LE, Brion GM, Freitas SJ. Multivariate logistic regression for predicting total culturable virus presence at the intake of a potable-water treatment plant: novel application of the atypical coliform/total coliform ratio. Applied and Environmental Microbiology 2007;73(12):3965-3974. |
R829784 (Final) |
|
| Journal Article | The utility of the AC/TC ratio for watershed management: a case study. | WATER SCIENCE & TECHNOLOGY | Booth J, Brion GM | Booth J, Brion GM. The utility of the AC/TC ratio for watershed management: a case study. Water Science & Technology 2004;50(1):199-203. |
R829784 (2003) R829784 (Final) |
|
| Journal Article | The AC/TC bacterial ratio: a tool for watershed quality management. | JOURNAL OF WATER AND ENVIRONMENT TECHNOLOGY | Brion GM | Brion GM. The AC/TC bacterial ratio: a tool for watershed quality management. Journal of Water and Environment Technology 2005;3(2):271-277. |
R829784 (2003) R829784 (2004) R829784 (Final) |
|
| Journal Article | Probing Norwalk-like virus presence in shellfish, using artificial neural networks. | WATER SCIENCE & TECHNOLOGY | Brion G, Lingeriddy S, Neelakantan TR, Wang M, Girones R, Lees D, Allard A, Vantarakis A | Brion G, Lingeriddy S, Neelakantan TR, Wang M, Girones R, Lees D, Allard A, Vantarakis A. Probing Norwalk-like virus presence in shellfish, using artificial neural networks. Water Science & Technology 2004;50(1):125-129. |
R829784 (2003) R829784 (Final) |
|
| Journal Article | Artificial neural network prediction of viruses in shellfish. | APPLIED AND ENVIRONMENTAL MICROBIOLOGY | Brion G, Viswanathan C, Neelakantan TR, Lingireddy S, Girones R, Lees D, Allard A, Vantarakis A | Brion G, Viswanathan C, Neelakantan TR, Lingireddy S, Girones R, Lees D, Allard A, Vantarakis A. Artificial neural network prediction of viruses in shellfish. Applied and Environmental Microbiology 2005;71(9):5244-5253. |
R829784 (2003) R829784 (2004) R829784 (Final) |
|
| Journal Article | Backfilling missing microbial concentrations in a riverine database using artificial neural networks. | WATER RESEARCH | Chandramouli V, Brion G, Neelakantan TR, Lingireddy S | Chandramouli V, Brion G, Neelakantan TR, Lingireddy S. Backfilling missing microbial concentrations in a riverine database using artificial neural networks. Water Research 2007;41(1):217-227. |
R829784 (2003) R829784 (2004) R829784 (Final) |
|
| Journal Article | Robust training termination criterion for back-propagation ANNs applicable to small datasets. | JOURNAL OF COMPUTING IN CIVIL ENGINEERING | Chandramouli V, Lingireddy S, Brion GM | Chandramouli V, Lingireddy S, Brion GM. Robust training termination criterion for back-propagation ANNs applicable to small datasets. Journal of Computing in Civil Engineering 2007;21(1):39-46. |
R829784 (2004) R829784 (Final) |
|
| Journal Article | Predicting enteric virus presence in surface waters using artificial neural network models. | ENVIRONMENTAL ENGINEERING SCIENCE | Chandramouli V, Neelakantan TR, Brion GM, Lingireddy S | Chandramouli V, Neelakantan TR, Brion GM, Lingireddy S. Predicting enteric virus presence in surface waters using artificial neural network models. Environmental Engineering Science 2008;25(1):53-62. |
R829784 (Final) |
|
| Journal Article | Predictive input parameters for enteric virus presence at the inlet of a potable water supply. | WATER SCIENCE AND TECHNOLOGY | Freitas SJ, Brion GM, Black L, Coakley T | Freitas SJ, Brion GM, Black L, Coakley T. Predictive input parameters for enteric virus presence at the inlet of a potable water supply. Water Science and Technology 2006;54(3):17-21. |
R829784 (2004) R829784 (Final) |
The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency.