199 related articles for article (PubMed ID: 32777721)
1. Effective modelling of hydrogen and energy recovery in microbial electrolysis cell by artificial neural network and adaptive network-based fuzzy inference system.
Hosseinzadeh A; Zhou JL; Altaee A; Baziar M; Li D
Bioresour Technol; 2020 Nov; 316():123967. PubMed ID: 32777721
[TBL] [Abstract][Full Text] [Related]
2. Modeling water flux in osmotic membrane bioreactor by adaptive network-based fuzzy inference system and artificial neural network.
Hosseinzadeh A; Zhou JL; Altaee A; Baziar M; Li X
Bioresour Technol; 2020 Aug; 310():123391. PubMed ID: 32344239
[TBL] [Abstract][Full Text] [Related]
3. Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel.
Wong YJ; Arumugasamy SK; Chung CH; Selvarajoo A; Sethu V
Environ Monit Assess; 2020 Jun; 192(7):439. PubMed ID: 32556670
[TBL] [Abstract][Full Text] [Related]
4. Performance evaluation of artificial intelligence paradigms-artificial neural networks, fuzzy logic, and adaptive neuro-fuzzy inference system for flood prediction.
Tabbussum R; Dar AQ
Environ Sci Pollut Res Int; 2021 May; 28(20):25265-25282. PubMed ID: 33453033
[TBL] [Abstract][Full Text] [Related]
5. Modelling and optimisation of electrocoagulation/flocculation recovery of effluent from land-based aquaculture by artificial intelligence (AI) approaches.
Igwegbe CA; Obi CC; Ohale PE; Ahmadi S; Onukwuli OD; Nwabanne JT; Białowiec A
Environ Sci Pollut Res Int; 2023 Jun; 30(27):70897-70917. PubMed ID: 37160520
[TBL] [Abstract][Full Text] [Related]
6. Modelling monthly mean air temperature using artificial neural network, adaptive neuro-fuzzy inference system and support vector regression methods: A case of study for Turkey.
Yakut E; Süzülmüş S
Network; 2020; 31(1-4):1-36. PubMed ID: 32397767
[TBL] [Abstract][Full Text] [Related]
7. Leuconostoc mesenteroides growth in food products: prediction and sensitivity analysis by adaptive-network-based fuzzy inference systems.
Wang HY; Wen CF; Chiu YH; Lee IN; Kao HY; Lee IC; Ho WH
PLoS One; 2013; 8(5):e64995. PubMed ID: 23705023
[TBL] [Abstract][Full Text] [Related]
8. Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN.
Şahin M; Erol R
Comput Intell Neurosci; 2018; 2018():5714872. PubMed ID: 30158960
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence modeling to predict transmembrane pressure in anaerobic membrane bioreactor-sequencing batch reactor during biohydrogen production.
Taheri E; Amin MM; Fatehizadeh A; Rezakazemi M; Aminabhavi TM
J Environ Manage; 2021 Aug; 292():112759. PubMed ID: 33984638
[TBL] [Abstract][Full Text] [Related]
10. Comparison of different heuristic and decomposition techniques for river stage modeling.
Seo Y; Kim S; Singh VP
Environ Monit Assess; 2018 Jun; 190(7):392. PubMed ID: 29892912
[TBL] [Abstract][Full Text] [Related]
11. Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models.
Zhu S; Heddam S; Nyarko EK; Hadzima-Nyarko M; Piccolroaz S; Wu S
Environ Sci Pollut Res Int; 2019 Jan; 26(1):402-420. PubMed ID: 30406582
[TBL] [Abstract][Full Text] [Related]
12. An improved adaptive neuro fuzzy inference system model using conjoined metaheuristic algorithms for electrical conductivity prediction.
Ahmadianfar I; Shirvani-Hosseini S; He J; Samadi-Koucheksaraee A; Yaseen ZM
Sci Rep; 2022 Mar; 12(1):4934. PubMed ID: 35322087
[TBL] [Abstract][Full Text] [Related]
13. Solar radiation and solar energy estimation using ANN and Fuzzy logic concept: A comprehensive and systematic study.
Patel D; Patel S; Patel P; Shah M
Environ Sci Pollut Res Int; 2022 May; 29(22):32428-32442. PubMed ID: 35178628
[TBL] [Abstract][Full Text] [Related]
14. Droplet size prediction in a microfluidic flow focusing device using an adaptive network based fuzzy inference system.
Mottaghi S; Nazari M; Fattahi SM; Nazari M; Babamohammadi S
Biomed Microdevices; 2020 Sep; 22(3):61. PubMed ID: 32876861
[TBL] [Abstract][Full Text] [Related]
15. Prediction of oxidation parameters of purified Kilka fish oil including gallic acid and methyl gallate by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network.
Asnaashari M; Farhoosh R; Farahmandfar R
J Sci Food Agric; 2016 Oct; 96(13):4594-602. PubMed ID: 26909668
[TBL] [Abstract][Full Text] [Related]
16. Intelligent algorithms-aided modeling and optimization of the deturbidization of abattoir wastewater by electrocoagulation using aluminium electrodes.
Obi CC; Nwabanne JT; Igwegbe CA; Abonyi MN; Umembamalu CJ; Kamuche TT
J Environ Manage; 2024 Feb; 353():120161. PubMed ID: 38290261
[TBL] [Abstract][Full Text] [Related]
17. Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction.
Subasi A
Comput Biol Med; 2007 Feb; 37(2):227-44. PubMed ID: 16480706
[TBL] [Abstract][Full Text] [Related]
18. Multivariate data-based optimization of membrane adsorption process for wastewater treatment: Multi-layer perceptron adaptive neural network versus adaptive neural fuzzy inference system.
Naghibi SA; Salehi E; Khajavian M; Vatanpour V; Sillanpää M
Chemosphere; 2021 Mar; 267():129268. PubMed ID: 33338708
[TBL] [Abstract][Full Text] [Related]
19. Predictive modeling of copper (II) adsorption from aqueous solutions by sawdust: a comparative analysis of adaptive neuro-fuzzy interference system (ANFIS) and artificial neural network (ANN) approaches.
Claude BJ; Onyango MS
J Environ Sci Health A Tox Hazard Subst Environ Eng; 2024; 59(4):172-179. PubMed ID: 38613163
[TBL] [Abstract][Full Text] [Related]
20. Application of artificial neural networks to predict the heavy metal contamination in the Bartin River.
Ucun Ozel H; Gemici BT; Gemici E; Ozel HB; Cetin M; Sevik H
Environ Sci Pollut Res Int; 2020 Dec; 27(34):42495-42512. PubMed ID: 32705560
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
