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The Smart Predicting of Algal Concentration for Safer Drinking Water Production with Sensor Data
To better predict the timely variation of algal blooms and other vital factors for safer drinking water production, a new AI scanning–focusing process was investigated for improving the simulation and prediction of algae counts. With a feedforward neural network (FNN) as a base, nerve cell numbers i...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255630/ https://www.ncbi.nlm.nih.gov/pubmed/37299878 http://dx.doi.org/10.3390/s23115151 |