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Items: 1 to 20 of 142

1.

Comparison of adaptive neuro-fuzzy inference system and artificial neutral networks model to categorize patients in the emergency department.

Azeez D, Ali MA, Gan KB, Saiboon I.

Springerplus. 2013 Aug 29;2:416. doi: 10.1186/2193-1801-2-416. eCollection 2013.

2.

Adaptive neuro-fuzzy inference system (ANFIS): a new approach to predictive modeling in QSAR applications: a study of neuro-fuzzy modeling of PCP-based NMDA receptor antagonists.

Buyukbingol E, Sisman A, Akyildiz M, Alparslan FN, Adejare A.

Bioorg Med Chem. 2007 Jun 15;15(12):4265-82. Epub 2007 Mar 24.

PMID:
17434739
3.

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 May 21;8(5):e64995. doi: 10.1371/journal.pone.0064995. Print 2013.

4.
5.

Modeling hourly dissolved oxygen concentration (DO) using two different adaptive neuro-fuzzy inference systems (ANFIS): a comparative study.

Heddam S.

Environ Monit Assess. 2014 Jan;186(1):597-619. doi: 10.1007/s10661-013-3402-1. Epub 2013 Sep 21.

PMID:
24057665
6.

Prediction of biochemical oxygen demand at the upstream catchment of a reservoir using adaptive neuro fuzzy inference system.

Chiu YC, Chiang CW, Lee TY.

Water Sci Technol. 2017 Oct;76(7):1739-1753. doi: 10.2166/wst.2017.359.

PMID:
28991790
7.

Prediction of effect of natural antioxidant compounds on hazelnut oil oxidation by adaptive neuro-fuzzy inference system and artificial neural network.

Yalcin H, Ozturk I, Karaman S, Kisi O, Sagdic O, Kayacier A.

J Food Sci. 2011 May;76(4):T112-20. doi: 10.1111/j.1750-3841.2011.02139.x. Epub 2011 Apr 14.

PMID:
22417373
8.

A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines.

Sun ZL, Au KF, Choi TM.

IEEE Trans Syst Man Cybern B Cybern. 2007 Oct;37(5):1321-31.

PMID:
17926712
9.

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. doi: 10.1002/jsfa.7677. Epub 2016 Mar 22.

PMID:
26909668
10.

Evaluating the potential of artificial neural network and neuro-fuzzy techniques for estimating antioxidant activity and anthocyanin content of sweet cherry during ripening by using image processing.

Taghadomi-Saberi S, Omid M, Emam-Djomeh Z, Ahmadi H.

J Sci Food Agric. 2014 Jan 15;94(1):95-101. doi: 10.1002/jsfa.6202. Epub 2013 Jun 17.

PMID:
23633396
11.

Ozone levels in the Empty Quarter of Saudi Arabia--application of adaptive neuro-fuzzy model.

Rahman SM, Khondaker AN, Khan RA.

Environ Sci Pollut Res Int. 2013 May;20(5):3395-404. doi: 10.1007/s11356-012-1271-8. Epub 2012 Oct 31.

PMID:
23111771
12.

Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients.

Güler I, Ubeyli ED.

J Neurosci Methods. 2005 Oct 30;148(2):113-21. Epub 2005 Jul 28.

PMID:
16054702
13.

Assessing sensitivity and specificity of the Manchester Triage System in the evaluation of acute coronary syndrome in adult patients in emergency care: a systematic review protocol.

Nishi FA, de Motta Maia FO, de Lopes Monteiro da Cruz DA.

JBI Database System Rev Implement Rep. 2015 Nov;13(11):64-73. doi: 10.11124/jbisrir-2015-2213.

PMID:
26657465
14.

Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

Kazemipoor M, Hajifaraji M, Radzi CW, Shamshirband S, Petković D, Mat Kiah ML.

Comput Methods Programs Biomed. 2015 Jan;118(1):69-76. doi: 10.1016/j.cmpb.2014.10.006. Epub 2014 Oct 16.

PMID:
25453384
15.

Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation.

Palaniappan R, Sundaraj K, Sundaraj S.

Comput Methods Programs Biomed. 2017 Jul;145:67-72. doi: 10.1016/j.cmpb.2017.04.013. Epub 2017 Apr 14.

PMID:
28552127
16.

Automatic detection of erthemato-squamous diseases using adaptive neuro- fuzzy inference systems.

Ubeyli ED, Güler I.

Comput Biol Med. 2005 Jun;35(5):421-433.

PMID:
16136651
17.

Respiratory motion prediction by using the adaptive neuro fuzzy inference system (ANFIS).

Kakar M, Nyström H, Aarup LR, Nøttrup TJ, Olsen DR.

Phys Med Biol. 2005 Oct 7;50(19):4721-8. Epub 2005 Sep 21.

PMID:
16177500
18.

Prediction of flood abnormalities for improved public safety using a modified adaptive neuro-fuzzy inference system.

Aqil M, Kita I, Yano A, Nishiyama S.

Water Sci Technol. 2006;54(11-12):11-9.

PMID:
17302300
19.

Diagnosis of renal failure disease using Adaptive Neuro-Fuzzy Inference System.

Akgundogdu A, Kurt S, Kilic N, Ucan ON, Akalin N.

J Med Syst. 2010 Dec;34(6):1003-9. doi: 10.1007/s10916-009-9317-2. Epub 2009 May 26.

PMID:
20703607
20.

Ensemble adaptive network-based fuzzy inference system with weighted arithmetical mean and application to diagnosis of optic nerve disease from visual-evoked potential signals.

Akdemir B, Kara S, Polat K, Güven A, Güneş S.

Artif Intell Med. 2008 Jun;43(2):141-9. doi: 10.1016/j.artmed.2008.03.007. Epub 2008 May 12.

PMID:
18468871

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