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.
103 related articles for article (PubMed ID: 27879782)
1. An Artificial Neural Network Approach for the Prediction of Absorption Measurements of an Evanescent Field Fiber Sensor. Saracoglu ÖG Sensors (Basel); 2008 Mar; 8(3):1585-1594. PubMed ID: 27879782 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Performance comparison of neural network training algorithms in modeling of bimodal drug delivery. Ghaffari A; Abdollahi H; Khoshayand MR; Bozchalooi IS; Dadgar A; Rafiee-Tehrani M Int J Pharm; 2006 Dec; 327(1-2):126-38. PubMed ID: 16959449 [TBL] [Abstract][Full Text] [Related]
4. Medium optimization for pyrroloquinoline quinone (PQQ) production by Methylobacillus sp. zju323 using response surface methodology and artificial neural network-genetic algorithm. Wei P; Si Z; Lu Y; Yu Q; Huang L; Xu Z Prep Biochem Biotechnol; 2017 Aug; 47(7):709-719. PubMed ID: 28448745 [TBL] [Abstract][Full Text] [Related]
5. Estimations for (n,α) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural network. Özdoğan H; Üncü YA; Şekerci M; Kaplan A Appl Radiat Isot; 2023 Feb; 192():110609. PubMed ID: 36508959 [TBL] [Abstract][Full Text] [Related]
6. Stability Analysis of the Modified Levenberg-Marquardt Algorithm for the Artificial Neural Network Training. Rubio JJ IEEE Trans Neural Netw Learn Syst; 2021 Aug; 32(8):3510-3524. PubMed ID: 32809947 [TBL] [Abstract][Full Text] [Related]
7. Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks. Gupta VK; Khani H; Ahmadi-Roudi B; Mirakhorli S; Fereyduni E; Agarwal S Talanta; 2011 Jan; 83(3):1014-22. PubMed ID: 21147352 [TBL] [Abstract][Full Text] [Related]
8. Utilization of artificial neural networks in the diagnosis of optic nerve diseases. Kara S; Güven A; Oner AO Comput Biol Med; 2006 Apr; 36(4):428-37. PubMed ID: 16488775 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. The use of artificial neural network (ANN) for modeling of COD removal from antibiotic aqueous solution by the Fenton process. Elmolla ES; Chaudhuri M; Eltoukhy MM J Hazard Mater; 2010 Jul; 179(1-3):127-34. PubMed ID: 20307930 [TBL] [Abstract][Full Text] [Related]
12. Controlling Electronic Devices with Brain Rhythms/Electrical Activity Using Artificial Neural Network (ANN). Muhammad Y; Vaino D Bioengineering (Basel); 2019 May; 6(2):. PubMed ID: 31108931 [TBL] [Abstract][Full Text] [Related]
13. Combination of artificial neural-network forecasters for prediction of natural gas consumption. Khotanzad A; Elragal H; Lu TL IEEE Trans Neural Netw; 2000; 11(2):464-73. PubMed ID: 18249775 [TBL] [Abstract][Full Text] [Related]
14. File access prediction using neural networks. Patra PK; Sahu M; Mohapatra S; Samantray RK IEEE Trans Neural Netw; 2010 Jun; 21(6):869-82. PubMed ID: 20421183 [TBL] [Abstract][Full Text] [Related]
15. A cumulative-risk assessment method based on an artificial neural network model for the water environment. Shi E; Shang Y; Li Y; Zhang M Environ Sci Pollut Res Int; 2021 Sep; 28(34):46176-46185. PubMed ID: 33492592 [TBL] [Abstract][Full Text] [Related]
16. Self-Calibration Algorithm for a Pressure Sensor with a Real-Time Approach Based on an Artificial Neural Network. Almassri AMM; Wan Hasan WZ; Ahmad SA; Shafie S; Wada C; Horio K Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30081581 [TBL] [Abstract][Full Text] [Related]
17. Prediction of Clinical Events in Hemodialysis Patients Using an Artificial Neural Network. Putra FR; Nursetyo AA; Thakur SS; Roy RB; Syed-Abdul S; Malwade S; Li YJ Stud Health Technol Inform; 2019 Aug; 264():1570-1571. PubMed ID: 31438236 [TBL] [Abstract][Full Text] [Related]
18. New parameter-free simplified swarm optimization for artificial neural network training and its application in the prediction of time series. Yeh WC IEEE Trans Neural Netw Learn Syst; 2013 Apr; 24(4):661-5. PubMed ID: 24808385 [TBL] [Abstract][Full Text] [Related]
19. Parameter incremental learning algorithm for neural networks. Wan S; Banta LE IEEE Trans Neural Netw; 2006 Nov; 17(6):1424-38. PubMed ID: 17131658 [TBL] [Abstract][Full Text] [Related]
20. The comparison of different multilayer perceptron and General Regression Neural Networks for volume fraction prediction using MCNPX code. Salgado CM; Dam RSF; Salgado WL; Werneck RRA; Pereira CMNA; Schirru R Appl Radiat Isot; 2020 Aug; 162():109170. PubMed ID: 32310094 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]