A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture

An accurate prediction of cage-cultured water quality is a hot topic in smart mariculture. Since the mariculturing environment is always open to its surroundings, the changes in water quality parameters are normally nonlinear, dynamic, changeable, and complex. However, traditional forecasting method...

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Detalles Bibliográficos
Autores principales: Hu, Zhuhua, Zhang, Yiran, Zhao, Yaochi, Xie, Mingshan, Zhong, Jiezhuo, Tu, Zhigang, Liu, Juntao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470961/
https://www.ncbi.nlm.nih.gov/pubmed/30909468
http://dx.doi.org/10.3390/s19061420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470961/
https://www.ncbi.nlm.nih.gov/pubmed/30909468
http://dx.doi.org/10.3390/s19061420

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