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Items: 1 to 20 of 204

1.

Usage of case-based reasoning, neural network and adaptive neuro-fuzzy inference system classification techniques in breast cancer dataset classification diagnosis.

Huang ML, Hung YH, Lee WM, Li RK, Wang TH.

J Med Syst. 2012 Apr;36(2):407-14. doi: 10.1007/s10916-010-9485-0. Epub 2010 May 2.

PMID:
20703710
2.
3.

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
4.

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
5.

Adaptive neuro-fuzzy inference system for classification of ECG signals using Lyapunov exponents.

Ubeyli ED.

Comput Methods Programs Biomed. 2009 Mar;93(3):313-21. doi: 10.1016/j.cmpb.2008.10.012. Epub 2008 Dec 11.

PMID:
19084286
6.
7.
8.

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
9.

Neural network classifier with entropy based feature selection on breast cancer diagnosis.

Huang ML, Hung YH, Chen WY.

J Med Syst. 2010 Oct;34(5):865-73. doi: 10.1007/s10916-009-9301-x. Epub 2009 May 5.

PMID:
20703622
10.

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
11.

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
13.
14.

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
15.
16.

Support vector machine based diagnostic system for breast cancer using swarm intelligence.

Chen HL, Yang B, Wang G, Wang SJ, Liu J, Liu DY.

J Med Syst. 2012 Aug;36(4):2505-19. doi: 10.1007/s10916-011-9723-0. Epub 2011 May 3.

PMID:
21537848
17.

A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis.

Sahan S, Polat K, Kodaz H, Güneş S.

Comput Biol Med. 2007 Mar;37(3):415-23. Epub 2006 Aug 10.

PMID:
16904096
18.

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
19.

Statistical geometry based prediction of nonsynonymous SNP functional effects using random forest and neuro-fuzzy classifiers.

Barenboim M, Masso M, Vaisman II, Jamison DC.

Proteins. 2008 Jun;71(4):1930-9. doi: 10.1002/prot.21838.

PMID:
18186470
20.

EEG-based motor imagery classification using neuro-fuzzy prediction and wavelet fractal features.

Hsu WY.

J Neurosci Methods. 2010 Jun 15;189(2):295-302. doi: 10.1016/j.jneumeth.2010.03.030. Epub 2010 Apr 8.

PMID:
20381529

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