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- Title
Application of Artificial Neural Networks in the Tertiary Treatment of Liquid Effluent with the Microalgae Chlorella vulgaris.
- Authors
Carvalho, Yasmin O.; Oliveira>, Weverton V.; Pagano, Rogério L.; Silva, Cristina F.
- Abstract
Modeling of biotechnological processes is difficult due to their nonlinear characteristics. Therefore, an artificial neural network was developed as a viable option for the prediction of the main variables of the tertiary treatment with Chlorella vulgaris. The network was designed with a hyperbolic tangent activation function and trained using a set of experimental and simulated data. The Levenberg‐Marquardt algorithm was used to train the network; four input neurons (luminosity, ammonium ion, phosphate, and initial biomass concentrations) and two output neurons (ammonium ion and phosphate concentrations) were fixed. The network architecture with one hidden layer [4,7,2] was chosen because it presented the lowest mean square error of the test combined with high R2, indicating that the network provides a good model for use in real applications.
- Subjects
ARTIFICIAL neural networks; WATER purification; CHLORELLA vulgaris; AMMONIUM ions; MICROALGAE; SCENEDESMUS; TANGENT function
- Publication
Chemical Engineering & Technology, 2021, Vol 44, Issue 10, p1863
- ISSN
0930-7516
- Publication type
Article
- DOI
10.1002/ceat.202100277