Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems

Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems

One-stage production of carbohydrate-enriched microalgae biomass in wastewater is a promising option to obtain biofuels. Understanding the interaction of water quality parameters such as nutrients, carbon, internal carbohydrates, and microbial composition in the culture is crucial for efficient oper...

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Bibliographic Details
Main Authors: Arias, D.M (Author), García, J. (Author), Gonzalez-Huitron, V. (Author), Morales-Rosales, L.A (Author), Partida, M.V (Author), Rodríguez-Rangel, H. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Accumulation model
Algae
Artificial intelligence methods
Biomass
Biomass productions
carbohydrate accumulation modeling
Carbohydrate accumulation modeling
Carbohydrates
Carbon
Convolution
Convolutional neural network
Cytology
Decision trees
Deep learning
Deep learning algorithm
deep learning algorithms
Heavy metals
Learning algorithms
Machine learning methods
Mean square error
Method model
microalgae
Microorganisms
Nearest neighbor search
Neural networks
Nutrients
resource recovery
Resource recovery
Wastewater treatment
Wastewater treatment system
Water quality
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