431 related articles for article (PubMed ID: 31690020)
1. Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al
Alarifi IM; Nguyen HM; Naderi Bakhtiyari A; Asadi A
Materials (Basel); 2019 Nov; 12(21):. PubMed ID: 31690020
[TBL] [Abstract][Full Text] [Related]
2. Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression.
Le LM; Ly HB; Pham BT; Le VM; Pham TA; Nguyen DH; Tran XT; Le TT
Materials (Basel); 2019 May; 12(10):. PubMed ID: 31121948
[TBL] [Abstract][Full Text] [Related]
3. ANFIS-MOA models for the assessment of groundwater contamination vulnerability in a nitrate contaminated area.
Elzain HE; Chung SY; Park KH; Senapathi V; Sekar S; Sabarathinam C; Hassan M
J Environ Manage; 2021 May; 286():112162. PubMed ID: 33636625
[TBL] [Abstract][Full Text] [Related]
4. Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability.
Hossain M; Mekhilef S; Afifi F; Halabi LM; Olatomiwa L; Seyedmahmoudian M; Horan B; Stojcevski A
PLoS One; 2018; 13(4):e0193772. PubMed ID: 29702645
[TBL] [Abstract][Full Text] [Related]
5. Hybrid intelligence methods for modeling the diffusivity of light hydrocarbons in bitumen.
Rajabi Kuyakhi H; Zarenia O; Tahmasebi Boldaji R
Heliyon; 2020 Sep; 6(9):e04936. PubMed ID: 32995622
[TBL] [Abstract][Full Text] [Related]
6. Application of Artificial Intelligence to Evaluate the Fresh Properties of Self-Consolidating Concrete.
Feng Y; Mohammadi M; Wang L; Rashidi M; Mehrabi P
Materials (Basel); 2021 Aug; 14(17):. PubMed ID: 34500974
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Fuzzy-based prediction of solar PV and wind power generation for microgrid modeling using particle swarm optimization.
Teferra DM; Ngoo LMH; Nyakoe GN
Heliyon; 2023 Jan; 9(1):e12802. PubMed ID: 36704286
[TBL] [Abstract][Full Text] [Related]
9. Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India.
Arora A; Arabameri A; Pandey M; Siddiqui MA; Shukla UK; Bui DT; Mishra VN; Bhardwaj A
Sci Total Environ; 2021 Jan; 750():141565. PubMed ID: 32882492
[TBL] [Abstract][Full Text] [Related]
10. Application of adaptive neuro-fuzzy inference systems to estimate digestible critical amino acid requirements in young broiler chicks.
Akbari Moghaddam Kakhki R; Anwar Z; Bakhshalinejad R; Golian A; France J
Poult Sci; 2019 Aug; 98(8):3233-3239. PubMed ID: 30778573
[TBL] [Abstract][Full Text] [Related]
11. Thermophysical Properties of Vegetable Oil-Based Hybrid Nanofluids Containing Al
Wanatasanappan VV; Rezman M; Abdullah MZ
Nanomaterials (Basel); 2022 Oct; 12(20):. PubMed ID: 36296811
[TBL] [Abstract][Full Text] [Related]
12. Improving one-dimensional pollution dispersion modeling in rivers using ANFIS and ANN-based GA optimized models.
Seifi A; Riahi-Madvar H
Environ Sci Pollut Res Int; 2019 Jan; 26(1):867-885. PubMed ID: 30415370
[TBL] [Abstract][Full Text] [Related]
13. Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms.
Razavi Termeh SV; Kornejady A; Pourghasemi HR; Keesstra S
Sci Total Environ; 2018 Feb; 615():438-451. PubMed ID: 28988080
[TBL] [Abstract][Full Text] [Related]
14. Mapping of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia.
Abba SI; Benaafi M; Usman AG; Ozsahin DU; Tawabini B; Aljundi IH
Sci Total Environ; 2023 Feb; 858(Pt 2):159697. PubMed ID: 36334664
[TBL] [Abstract][Full Text] [Related]
15. Improved Estimation of Bio-Oil Yield Based on Pyrolysis Conditions and Biomass Compositions Using GA- and PSO-ANFIS Models.
Li Z; Zhao D; Han L; Yu L; Jafari MMM
Biomed Res Int; 2021; 2021():2204021. PubMed ID: 34725635
[TBL] [Abstract][Full Text] [Related]
16. Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction.
Adun H; Wole-Osho I; Okonkwo EC; Ruwa T; Agwa T; Onochie K; Ukwu H; Bamisile O; Dagbasi M
Neural Comput Appl; 2022; 34(13):11233-11254. PubMed ID: 35291505
[TBL] [Abstract][Full Text] [Related]
17. Improved adaptive neuro-fuzzy inference system based on modified glowworm swarm and differential evolution optimization algorithm for medical diagnosis.
Balasubramanian K; Ananthamoorthy NP
Neural Comput Appl; 2021; 33(13):7649-7660. PubMed ID: 33250576
[TBL] [Abstract][Full Text] [Related]
18. Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams.
Nguyen QH; Ly HB; Le TT; Nguyen TA; Phan VH; Tran VQ; Pham BT
Materials (Basel); 2020 May; 13(10):. PubMed ID: 32408473
[TBL] [Abstract][Full Text] [Related]
19. Thermal and Fluid Dynamics Performance of MWCNT-Water Nanofluid Based on Thermophysical Properties: An Experimental and Theoretical Study.
Lyu Z; Asadi A; Alarifi IM; Ali V; Foong LK
Sci Rep; 2020 Mar; 10(1):5185. PubMed ID: 32198454
[TBL] [Abstract][Full Text] [Related]
20. Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility.
Moayedi H; Mehrabi M; Bui DT; Pradhan B; Foong LK
J Environ Manage; 2020 Apr; 260():109867. PubMed ID: 32090793
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
