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Items: 1 to 20 of 110

1.

Monthly water quality forecasting and uncertainty assessment via bootstrapped wavelet neural networks under missing data for Harbin, China.

Wang Y, Zheng T, Zhao Y, Jiang J, Wang Y, Guo L, Wang P.

Environ Sci Pollut Res Int. 2013 Dec;20(12):8909-23. doi: 10.1007/s11356-013-1874-8. Epub 2013 Jun 8.

PMID:
23749372
2.

Support vector machine-an alternative to artificial neuron network for water quality forecasting in an agricultural nonpoint source polluted river?

Liu M, Lu J.

Environ Sci Pollut Res Int. 2014 Sep;21(18):11036-53. doi: 10.1007/s11356-014-3046-x. Epub 2014 Jun 5.

PMID:
24894753
3.

Development of a method for comprehensive water quality forecasting and its application in Miyun reservoir of Beijing, China.

Zhang L, Zou Z, Shan W.

J Environ Sci (China). 2017 Jun;56:240-246. doi: 10.1016/j.jes.2016.07.017. Epub 2016 Oct 29.

PMID:
28571859
4.

Chlorophyll a simulation in a lake ecosystem using a model with wavelet analysis and artificial neural network.

Wang F, Wang X, Chen B, Zhao Y, Yang Z.

Environ Manage. 2013 May;51(5):1044-54. doi: 10.1007/s00267-013-0029-5. Epub 2013 Mar 21.

PMID:
23515906
5.

Modeling water quality in an urban river using hydrological factors--data driven approaches.

Chang FJ, Tsai YH, Chen PA, Coynel A, Vachaud G.

J Environ Manage. 2015 Mar 15;151:87-96. doi: 10.1016/j.jenvman.2014.12.014. Epub 2014 Dec 24.

PMID:
25544251
6.

Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model.

Ravansalar M, Rajaee T.

Environ Monit Assess. 2015 Jun;187(6):366. doi: 10.1007/s10661-015-4590-7. Epub 2015 May 21.

PMID:
25990827
7.

Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean.

Alizadeh MJ, Kavianpour MR.

Mar Pollut Bull. 2015 Sep 15;98(1-2):171-8. doi: 10.1016/j.marpolbul.2015.06.052. Epub 2015 Jul 2.

PMID:
26140748
8.

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China.

Wen X, Fang J, Diao M, Zhang C.

Environ Monit Assess. 2013 May;185(5):4361-71. doi: 10.1007/s10661-012-2874-8. Epub 2012 Sep 22.

PMID:
23001527
9.

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland.

Deo RC, Şahin M.

Environ Monit Assess. 2016 Feb;188(2):90. doi: 10.1007/s10661-016-5094-9. Epub 2016 Jan 16. Erratum in: Environ Monit Assess. 2016 Apr;188(4):209.

PMID:
26780409
10.

A hybrid evolutionary data driven model for river water quality early warning.

Burchard-Levine A, Liu S, Vince F, Li M, Ostfeld A.

J Environ Manage. 2014 Oct 1;143:8-16. doi: 10.1016/j.jenvman.2014.04.017. Epub 2014 May 13.

PMID:
24833523
11.

Application of artificial intelligence models in water quality forecasting.

Yeon IS, Kim JH, Jun KW.

Environ Technol. 2008 Jun;29(6):625-31. doi: 10.1080/09593330801984456.

PMID:
18702288
12.

Estimating monthly total nitrogen concentration in streams by using artificial neural network.

He B, Oki T, Sun F, Komori D, Kanae S, Wang Y, Kim H, Yamazaki D.

J Environ Manage. 2011 Jan;92(1):172-7. doi: 10.1016/j.jenvman.2010.09.014. Epub 2010 Sep 27.

PMID:
20870340
13.

Application of ANN and ANFIS models for reconstructing missing flow data.

Dastorani MT, Moghadamnia A, Piri J, Rico-Ramirez M.

Environ Monit Assess. 2010 Jul;166(1-4):421-34. doi: 10.1007/s10661-009-1012-8. Epub 2009 Jun 20.

PMID:
19543999
14.

Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study.

Antanasijević D, Pocajt V, Povrenović D, Perić-Grujić A, Ristić M.

Environ Sci Pollut Res Int. 2013 Dec;20(12):9006-13. doi: 10.1007/s11356-013-1876-6. Epub 2013 Jun 14.

PMID:
23764983
15.

Water demand forecasting: review of soft computing methods.

Ghalehkhondabi I, Ardjmand E, Young WA 2nd, Weckman GR.

Environ Monit Assess. 2017 Jul;189(7):313. doi: 10.1007/s10661-017-6030-3. Epub 2017 Jun 6.

PMID:
28585040
16.

Development of predictive models for determining enterococci levels at Gulf Coast beaches.

Zhang Z, Deng Z, Rusch KA.

Water Res. 2012 Feb 1;46(2):465-74. doi: 10.1016/j.watres.2011.11.027. Epub 2011 Nov 19.

PMID:
22130001
17.

Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers.

Rajaee T.

Sci Total Environ. 2011 Jul 1;409(15):2917-28. doi: 10.1016/j.scitotenv.2010.11.028. Epub 2011 May 4.

PMID:
21546062
18.

Estimating spatio-temporal dynamics of stream total phosphate concentration by soft computing techniques.

Chang FJ, Chen PA, Chang LC, Tsai YH.

Sci Total Environ. 2016 Aug 15;562:228-236. doi: 10.1016/j.scitotenv.2016.03.219. Epub 2016 Apr 19.

PMID:
27100003
19.
20.

Spatial assessment of Langat River water quality using chemometrics.

Juahir H, Zain SM, Aris AZ, Yusoff MK, Mokhtar MB.

J Environ Monit. 2010 Jan;12(1):287-95. doi: 10.1039/b907306j. Epub 2009 Sep 4.

PMID:
20082024

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