Modeling and optimization of biogas production on saw dust and other co-substrates using Artificial Neural network and Genetic Algorithm
The joint challenge of global pollution and depletion of fossil fuels is driving intense search into alternative renewable sources. This paper reports the modeling and optimization of biogas production on mixed substrates of saw dust, cow dung, banana stem, rice bran and paper waste using Artificial Neural Network (ANN) coupling Genetic Algorithm (GA).
Year of publication: |
2012
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Authors: | Gueguim Kana, E.B. ; Oloke, J.K. ; Lateef, A. ; Adesiyan, M.O. |
Published in: |
Renewable Energy. - Elsevier, ISSN 0960-1481. - Vol. 46.2012, C, p. 276-281
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Publisher: |
Elsevier |
Subject: | Biogas production | Artificial intelligence | Artificial Neural Network | Bioprocess optimization | Genetic Algorithm | Mixed substrates |
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