Forecasting Algal Blooms in Surface Water Systems with Artificial Neural Networks
dc.contributor.author | NOAH, LLC | |
dc.contributor.author | New Jersey American Water Company | |
dc.contributor.author | Passaic Valley Water Company | |
dc.date.accessioned | 2021-03-19T13:25:29Z | |
dc.date.available | 2021-03-19T13:25:29Z | |
dc.date.issued | 2006-03 | |
dc.identifier.uri | https://hdl.handle.net/10929/69919 | |
dc.language.iso | en_US | en_US |
dc.publisher | Trenton, N.J. : New Jersey Department of Environmental Protection | en_US |
dc.subject | New Jersey | en_US |
dc.subject | Algal blooms - New Jersey - Forecasting - Data processing | en_US |
dc.subject | Algal blooms - New Jersey - Computer simulation | en_US |
dc.subject | Neural networks (Computer science) - New Jersey | en_US |
dc.subject | Cyanobacteria - Counting - New Jersey | en_US |
dc.title | Forecasting Algal Blooms in Surface Water Systems with Artificial Neural Networks | en_US |
dc.type | Technical Report | en_US |