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Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm

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Main Authors: Adnan, Rana Muhammad, Dai, Hong-Liang, Kisi, Ozgur
Language:English
Published: Springer 2023
Subjects:
BOD
ANFIS
Online Access:https://link.springer.com/article/10.1007/s11356-023-28935-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8693
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spelling oai:localhost:PNK-86932023-08-04T09:00:34Z Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm Adnan, Rana Muhammad Dai, Hong-Liang Kisi, Ozgur BOD ANFIS CC-BY Biochemical oxygen demand (BOD) is one of the most important parameters used for water quality assessment. Alternative methods are essential for accurately prediction of this parameter because the traditional method in predicting the BOD is time-consuming and it is inaccurate due to inconstancies in microbial multiplicity. In this study, the applicability of four hybrid neuro-fuzzy (ANFIS) methods, ANFIS with genetic algorithm (GA), ANFIS with particle swarm optimization (PSO), ANFIS with sine cosine algorithm (SCA), and ANFIS with marine predators algorithm (MPA), was investigated in predicting BOD using distinct input combinations such as potential of hydrogen (pH), dissolved oxygen (DO), electrical conductivity (EC), water temperature (WT), suspended solids (SS), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (T-P) acquired from two river stations, Gongreung and Gyeongan, South Korea. 2023-08-04T09:00:34Z 2023-08-04T09:00:34Z 2023 https://link.springer.com/article/10.1007/s11356-023-28935-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8693 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic BOD
ANFIS
spellingShingle BOD
ANFIS
Adnan, Rana Muhammad
Dai, Hong-Liang
Kisi, Ozgur
Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
description CC-BY
author Adnan, Rana Muhammad
Dai, Hong-Liang
Kisi, Ozgur
author_facet Adnan, Rana Muhammad
Dai, Hong-Liang
Kisi, Ozgur
author_sort Adnan, Rana Muhammad
title Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
title_short Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
title_full Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
title_fullStr Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
title_full_unstemmed Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
title_sort modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11356-023-28935-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8693
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score 8.887836

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