Gaya, Muhammad Sani and Abdul Wahab, Norhaliza and Md. Sam, Yahaya and Samsudin, Sharatul Izah (2014) Anfis modelling of carbon and nitrogen removal in domestic wastewater treatment plant. Jurnal Teknologi (Sciences and Engineering), 67 (5). pp. 29-34. ISSN 0127-9696
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Official URL: http://dx.doi.org/10.11113/jt.v67.2839
Abstract
Wastewater treatment plant involves highly complex and uncertain processes, which are quite difficult to forecast. However, smooth and efficient operation of the treatment plant depends on an appropriate model capable of describing accurately the dynamic nature of the system. Most of the existing models were applied to industrial wastewater treatment plants. Therefore, this paper proposed an ANFIS model for carbon and nitrogen removal in the Bunus regional sewage wastewater treatment plant, Kuala Lumpur, Malaysia. For comparison, feed-forward neural network is used. Simulation results revealed that the ANFIS model demonstrated slightly better prediction capability in all the considered variables, chemical oxygen demand (COD), suspended solids (SS) and ammonium nitrogen (NH4-N) as compared to the FFNN model, thus proving that the proposed ANFIS model is reliable and useful to the wastewater treatment plant
Item Type: | Article |
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Uncontrolled Keywords: | prediction, fuzzy inference system, neural network, parameters |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 51864 |
Deposited By: | Siti Nor Hashidah Zakaria |
Deposited On: | 01 Feb 2016 03:53 |
Last Modified: | 27 Aug 2018 03:41 |
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