Algal Bloom Prediction Using Extreme Learning Machine Models at Artificial Weirs in the Nakdong River, Korea

In this study, we design an intelligent model to predict chlorophyll-a concentration, which is the primary indicator of algal blooms, using extreme learning machine (ELM) models. Modeling algal blooms is important for environmental management and ecological risk assessment. For this purpose, the per...

Descripción completa

Detalles Bibliográficos
Autores principales: Yi, Hye-Suk, Park, Sangyoung, An, Kwang-Guk, Kwak, Keun-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210959/
https://www.ncbi.nlm.nih.gov/pubmed/30248912
http://dx.doi.org/10.3390/ijerph15102078

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210959/
https://www.ncbi.nlm.nih.gov/pubmed/30248912
http://dx.doi.org/10.3390/ijerph15102078

Ejemplares similares