Artificial Neural Network for predicting biosorption of methylene blue by Spirulina sp
An artificial neural network (ANN) was used to predict the biosorption of methylene blue on Spirulina sp. biomass. Genetic and anneal algorithms were tested with different quantity of neurons at the hidden layers to determine the optimal neurons in the ANN architecture. In addition, sensitivity anal...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 63(2011), 5 vom: 29., Seite 977-83
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| 1. Verfasser: |
Garza-González, M T
(VerfasserIn) |
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| Weitere Verfasser: |
Alcalá-Rodríguez, M M,
Pérez-Elizondo, R,
Cerino-Córdova, F J,
Garcia-Reyes, R B,
Loredo-Medrano, J A,
Soto-Regalado, E |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2011
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| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
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| Schlagworte: | Journal Article
Water Pollutants, Chemical
Methylene Blue
T42P99266K |
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