Prediction of rhamnolipid breakthrough curves on activated carbon and amberlite XAD-2 using artificial neural network and group method data handling models
Artificial Neural Network (ANN) and Group Method Data Handling (GMDH) models, a kind of polynomial neural network, were used to predict the breakthrough curves of rhamnolipids onto activated carbon and Amberlite XAD-2 adsorbents. Rhamnolipids were produced by Pseudomonas aeruginosa and were previous...
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Principais autores: | , , , , , |
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Formato: | article |
Idioma: | English |
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Elsevier
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Endereço do item: | https://repositorio.ufrn.br/handle/123456789/45196 |
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