| Autor: |
J. K. Arora, S. Srivastava |
| Rok vydání: |
2012 |
| Předmět: |
|
| Zdroj: |
Chemistry of Phytopotentials: Health, Energy and Environmental Perspectives ISBN: 9783642233937 |
| DOI: |
10.1007/978-3-642-23394-4_53 |
| Popis: |
Simulation and optimization of biosorption studies were carried out using Artificial Neural Network (ANN) modeling. A single layer ANN model was developed to simulate the process and to predict the removal efficiency of Ni (II) ions from aqueous solution using Leucaena Leucocephala seed powder (LLSP). Different NN architecture was tested by varying network topology. The findings indicated that the ANN provided reasonable predictive performance. The influence of each parameter on the variable studied was assessed, and metal concentration, contact time, biomass dosage and initial volume were found to be the most significant factors. Simulations based on the developed ANN model can estimate the behavior of the biosorption phenomenon process under different conditions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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