485 related articles for article (PubMed ID: 29975883)
1. Exergetic performance prediction of solar air heater using MLP, GRNN and RBF models of artificial neural network technique.
Ghritlahre HK; Prasad RK
J Environ Manage; 2018 Oct; 223():566-575. PubMed ID: 29975883
[TBL] [Abstract][Full Text] [Related]
2. Linear and nonlinear modeling approaches for urban air quality prediction.
Singh KP; Gupta S; Kumar A; Shukla SP
Sci Total Environ; 2012 Jun; 426():244-55. PubMed ID: 22542239
[TBL] [Abstract][Full Text] [Related]
3. Performance analysis of multi-gap V-roughness with staggered elements of solar air heater based on artificial neural network and experimental investigations.
Jain PK; Lanjewar A; Jain R; Rana KB
Environ Sci Pollut Res Int; 2021 Feb; ():. PubMed ID: 33635462
[TBL] [Abstract][Full Text] [Related]
4. Artificial neural networks applied to forecasting time series.
Montaño Moreno JJ; Palmer Pol A; Muñoz Gracia P
Psicothema; 2011 Apr; 23(2):322-9. PubMed ID: 21504688
[TBL] [Abstract][Full Text] [Related]
5. Performance predication of a solar assisted desiccant air conditioning system using radial basis function neural network: An integrated machine learning approach.
Ullah S; Ali M; Sheikh MF; Chaudhary GQ; Kerbache L
Heliyon; 2024 May; 10(9):e29777. PubMed ID: 38774084
[TBL] [Abstract][Full Text] [Related]
6. Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.
de Jesus K; de Jesus K; Ayala HVH; Dos Santos Coelho L; Vilas-Boas JP; Fernandes RJP
J Sports Sci; 2019 Jul; 37(13):1512-1520. PubMed ID: 30724700
[TBL] [Abstract][Full Text] [Related]
7. Prediction of force measurements of a microbend sensor based on an artificial neural network.
Efendioglu HS; Yildirim T; Fidanboylu K
Sensors (Basel); 2009; 9(9):7167-76. PubMed ID: 22399991
[TBL] [Abstract][Full Text] [Related]
8. A hybrid ART-GRNN online learning neural network with a epsilon -insensitive loss function.
Yap KS; Lim CP; Abidin IZ
IEEE Trans Neural Netw; 2008 Sep; 19(9):1641-6. PubMed ID: 18779094
[TBL] [Abstract][Full Text] [Related]
9. Modeling and simulation of turbulent flows through a solar air heater having square-sectioned transverse rib roughness on the absorber plate.
Yadav AS; Bhagoria JL
ScientificWorldJournal; 2013; 2013():827131. PubMed ID: 24222752
[TBL] [Abstract][Full Text] [Related]
10. Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation.
Jassim MS; Coskuner G; Zontul M
Waste Manag Res; 2022 Feb; 40(2):195-204. PubMed ID: 33818220
[TBL] [Abstract][Full Text] [Related]
11. Predicting acute aquatic toxicity of structurally diverse chemicals in fish using artificial intelligence approaches.
Singh KP; Gupta S; Rai P
Ecotoxicol Environ Saf; 2013 Sep; 95():221-33. PubMed ID: 23764236
[TBL] [Abstract][Full Text] [Related]
12. Modeling total phosphorus removal in an aquatic environment restoring horizontal subsurface flow constructed wetland based on artificial neural networks.
Li W; Zhang Y; Cui L; Zhang M; Wang Y
Environ Sci Pollut Res Int; 2015 Aug; 22(16):12347-54. PubMed ID: 25903184
[TBL] [Abstract][Full Text] [Related]
13. A Novel RSSI Prediction Using Imperialist Competition Algorithm (ICA), Radial Basis Function (RBF) and Firefly Algorithm (FFA) in Wireless Networks.
Goudarzi S; Haslina Hassan W; Abdalla Hashim AH; Soleymani SA; Anisi MH; Zakaria OM
PLoS One; 2016; 11(7):e0151355. PubMed ID: 27438600
[TBL] [Abstract][Full Text] [Related]
14. Prediction of the outlet flow temperature in a flat plate solar collector using artificial neural network.
Shafiey Dehaj M; Zamani Mohiabadi M; Hosseini SMS
Environ Monit Assess; 2020 Nov; 192(12):770. PubMed ID: 33215263
[TBL] [Abstract][Full Text] [Related]
15. Traffic accident reconstruction and an approach for prediction of fault rates using artificial neural networks: A case study in Turkey.
Can Yilmaz A; Aci C; Aydin K
Traffic Inj Prev; 2016 Aug; 17(6):585-9. PubMed ID: 26759925
[TBL] [Abstract][Full Text] [Related]
16. Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia.
Hanoon MS; Ahmed AN; Zaini N; Razzaq A; Kumar P; Sherif M; Sefelnasr A; El-Shafie A
Sci Rep; 2021 Sep; 11(1):18935. PubMed ID: 34556676
[TBL] [Abstract][Full Text] [Related]
17. Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China.
Wei W; Jiang J; Liang H; Gao L; Liang B; Huang J; Zang N; Liao Y; Yu J; Lai J; Qin F; Su J; Ye L; Chen H
PLoS One; 2016; 11(6):e0156768. PubMed ID: 27258555
[TBL] [Abstract][Full Text] [Related]
18. The application of artificial neural networks in modeling and predicting the effects of melatonin on morphological responses of citrus to drought stress.
Jafari M; Shahsavar A
PLoS One; 2020; 15(10):e0240427. PubMed ID: 33052940
[TBL] [Abstract][Full Text] [Related]
19. Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review.
Agbasi JC; Egbueri JC
Environ Sci Pollut Res Int; 2024 May; 31(21):30370-30398. PubMed ID: 38641692
[TBL] [Abstract][Full Text] [Related]
20. Predicting evaporation with optimized artificial neural network using multi-objective salp swarm algorithm.
Ehteram M; Panahi F; Ahmed AN; Huang YF; Kumar P; Elshafie A
Environ Sci Pollut Res Int; 2022 Feb; 29(7):10675-10701. PubMed ID: 34528189
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
