These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
140 related articles for article (PubMed ID: 35729162)
21. 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. PubMed ID: 24057665 [TBL] [Abstract][Full Text] [Related]
22. Simultaneously Improving Ductility and Stretch Formability of Mg-3Y Sheet via High Temperature Cross-Rolling and Subsequent Short-Term Annealing. Wang Y; Liu C; Fu Y; Xu Y; Shao Z; Chen X; Zhu X Materials (Basel); 2022 Jul; 15(13):. PubMed ID: 35806835 [TBL] [Abstract][Full Text] [Related]
23. The Comparison of the Multi-Layer Artificial Neural Network Training Methods in Terms of the Predictive Quality of the Coefficient of Friction of 1.0338 (DC04) Steel Sheet. Trzepieciński T Materials (Basel); 2024 Feb; 17(4):. PubMed ID: 38399159 [TBL] [Abstract][Full Text] [Related]
24. Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models. Zhu S; Heddam S; Nyarko EK; Hadzima-Nyarko M; Piccolroaz S; Wu S Environ Sci Pollut Res Int; 2019 Jan; 26(1):402-420. PubMed ID: 30406582 [TBL] [Abstract][Full Text] [Related]
25. 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]
26. Digital Image Correlation Characterization and Formability Analysis of Aluminum Alloy TWB during Forming. Wu J; Hovanski Y; Miles M Materials (Basel); 2022 Jul; 15(15):. PubMed ID: 35955226 [TBL] [Abstract][Full Text] [Related]
27. Microstructural correlation of cross rolling temperature of AT55 magnesium alloy in mechanical and formability behaviour. Vignesh P; Abraham A; Kumaran S Micron; 2022 Sep; 160():103305. PubMed ID: 35714470 [TBL] [Abstract][Full Text] [Related]
28. Simulation of time-series groundwater parameters using a hybrid metaheuristic neuro-fuzzy model. Azizpour A; Izadbakhsh MA; Shabanlou S; Yosefvand F; Rajabi A Environ Sci Pollut Res Int; 2022 Apr; 29(19):28414-28430. PubMed ID: 34988802 [TBL] [Abstract][Full Text] [Related]
29. Improving Prediction of Springback in Sheet Metal Forming Using Multilayer Perceptron-Based Genetic Algorithm. Trzepieciński T; Lemu HG Materials (Basel); 2020 Jul; 13(14):. PubMed ID: 32674296 [TBL] [Abstract][Full Text] [Related]
30. [Study on diagnostic methods of breathing disorders based on fuzzy logic inference and the neural network]. Chen M; Yin X Zhongguo Yi Liao Qi Xie Za Zhi; 2011 Jul; 35(4):260-2. PubMed ID: 22097748 [TBL] [Abstract][Full Text] [Related]
31. Using feed-forward perceptron Artificial Neural Network (ANN) model to determine the rolling force, power and slip of the tandem cold rolling. Xia JS; Khaje Khabaz M; Patra I; Khalid I; Alvarez JRN; Rahmanian A; Eftekhari SA; Toghraie D ISA Trans; 2023 Jan; 132():353-363. PubMed ID: 35773061 [TBL] [Abstract][Full Text] [Related]
32. Evaluation of a new neutron energy spectrum unfolding code based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). Hosseini SA; Esmaili Paeen Afrakoti I J Radiat Res; 2018 Jul; 59(4):436-441. PubMed ID: 29351656 [TBL] [Abstract][Full Text] [Related]
33. Modeling of steam distillation mechanism during steam injection process using artificial intelligence. Daryasafar A; Ahadi A; Kharrat R ScientificWorldJournal; 2014; 2014():246589. PubMed ID: 24883365 [TBL] [Abstract][Full Text] [Related]
34. 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; 8(5):e64995. PubMed ID: 23705023 [TBL] [Abstract][Full Text] [Related]
35. Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning. Stieler F; Yan H; Lohr F; Wenz F; Yin FF Radiat Oncol; 2009 Sep; 4():39. PubMed ID: 19781059 [TBL] [Abstract][Full Text] [Related]
36. Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using wavelet feature extraction. Subasi A Comput Biol Med; 2007 Feb; 37(2):227-44. PubMed ID: 16480706 [TBL] [Abstract][Full Text] [Related]
37. 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. PubMed ID: 17926712 [TBL] [Abstract][Full Text] [Related]
38. Prediction of Attendance Demand in European Football Games: Comparison of ANFIS, Fuzzy Logic, and ANN. Şahin M; Erol R Comput Intell Neurosci; 2018; 2018():5714872. PubMed ID: 30158960 [TBL] [Abstract][Full Text] [Related]
39. 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. PubMed ID: 18468871 [TBL] [Abstract][Full Text] [Related]
40. 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. PubMed ID: 26909668 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]