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Hybrid neural network modeling and optimization of an anaerobic digestion of shrimp culture pond sediments in biogas production process |
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| รหัสดีโอไอ | |
| Creator | 1. Nardruedee Ruamtawee 2. Wachira Daosud 3. Yanisa Laoong-u-thai 4. Paisan Kittisupakorn |
| Title | Hybrid neural network modeling and optimization of an anaerobic digestion of shrimp culture pond sediments in biogas production process |
| Publisher | Faculty of Engineering, Khon Kaen University |
| Publication Year | 2559 |
| Journal Title | KKU Engineering Journal |
| Journal Vol. | 43 |
| Journal No. | S2 |
| Page no. | 192-195 |
| Keyword | Hybrid neural network, Optimization, Anaerobic digestion, Biogas production |
| ISSN | 0125-8273 |
| Abstract | Hybrid neural network (HNN) has received great attention especially for modeling a nonlinear system. Hence, HNN for modeling and optimization for determining optimum temperature profiles with maximal biogas production was studied basing on mathematical models initially describing the anaerobic digestion in biogas production process. The experiment of a 30-day process was conducted using sediments from shrimp ponds to simulate the daily performance of the HNN consisting of two-hidden layers with 7 and 9 nodes and the optimization of ambient temperature with satisfactory results obtained: a significant higher yield at 3.30 times compared with conventional methods. |
