68 related articles for article (PubMed ID: 26339863)
1. GIAO C-H COSY Simulations Merged with Artificial Neural Networks Pattern Recognition Analysis. Pushing the Structural Validation a Step Forward.
Zanardi MM; Sarotti AM
J Org Chem; 2015 Oct; 80(19):9371-8. PubMed ID: 26339863
[TBL] [Abstract][Full Text] [Related]
2. Successful combination of computationally inexpensive GIAO 13C NMR calculations and artificial neural network pattern recognition: a new strategy for simple and rapid detection of structural misassignments.
Sarotti AM
Org Biomol Chem; 2013 Aug; 11(29):4847-59. PubMed ID: 23779148
[TBL] [Abstract][Full Text] [Related]
3. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?
Balabin RM; Lomakina EI
Phys Chem Chem Phys; 2011 Jun; 13(24):11710-8. PubMed ID: 21594265
[TBL] [Abstract][Full Text] [Related]
4. A statistical pattern recognition approach for determining cellular viability and lineage phenotype in cultured cells and murine bone marrow.
Quinn J; Fisher PW; Capocasale RJ; Achuthanandam R; Kam M; Bugelski PJ; Hrebien L
Cytometry A; 2007 Aug; 71(8):612-24. PubMed ID: 17542025
[TBL] [Abstract][Full Text] [Related]
5. Uncertainty in the output of artificial neural networks.
Jiang Y
IEEE Trans Med Imaging; 2003 Jul; 22(7):913-21. PubMed ID: 12906245
[TBL] [Abstract][Full Text] [Related]
6. Quantum-based algorithm for optimizing artificial neural networks.
Tzyy-Chyang Lu ; Gwo-Ruey Yu ; Jyh-Ching Juang
IEEE Trans Neural Netw Learn Syst; 2013 Aug; 24(8):1266-78. PubMed ID: 24808566
[TBL] [Abstract][Full Text] [Related]
7. Modeling drug solubility in water-cosolvent mixtures using an artificial neural network.
Jouyban A; Majidi MR; Jalilzadeh H; Asadpour-Zeynali K
Farmaco; 2004 Jun; 59(6):505-12. PubMed ID: 15178314
[TBL] [Abstract][Full Text] [Related]
8. Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
Kalderstam J; Edén P; Bendahl PO; Strand C; Fernö M; Ohlsson M
Artif Intell Med; 2013 Jun; 58(2):125-32. PubMed ID: 23582884
[TBL] [Abstract][Full Text] [Related]
9. Connectivity in the yeast cell cycle transcription network: inferences from neural networks.
Hart CE; Mjolsness E; Wold BJ
PLoS Comput Biol; 2006 Dec; 2(12):e169. PubMed ID: 17194216
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of artificial neural networks in the classification of primary oesophageal dysmotility.
Santos R; Haack HG; Maddalena D; Hansen RD; Kellow JE
Scand J Gastroenterol; 2006 Mar; 41(3):257-63. PubMed ID: 16497611
[TBL] [Abstract][Full Text] [Related]
11. Single-hidden-layer feed-forward quantum neural network based on Grover learning.
Liu CY; Chen C; Chang CT; Shih LM
Neural Netw; 2013 Sep; 45():144-50. PubMed ID: 23545155
[TBL] [Abstract][Full Text] [Related]
12. Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance.
Mjalli FS; Al-Asheh S; Alfadala HE
J Environ Manage; 2007 May; 83(3):329-38. PubMed ID: 16806660
[TBL] [Abstract][Full Text] [Related]
13. Improved differentiation between Churg-Strauss syndrome and Wegener's granulomatosis by an artificial neural network.
Schmitt WH; Linder R; Reinhold-Keller E; Gross WL
Arthritis Rheum; 2001 Aug; 44(8):1887-96. PubMed ID: 11508442
[TBL] [Abstract][Full Text] [Related]
14. Comparison of Multiple Linear Regressions and Neural Networks based QSAR models for the design of new antitubercular compounds.
Ventura C; Latino DA; Martins F
Eur J Med Chem; 2013; 70():831-45. PubMed ID: 24246731
[TBL] [Abstract][Full Text] [Related]
15. Molecular dynamics investigations of ozone on an ab initio potential energy surface with the utilization of pattern-recognition neural network for accurate determination of product formation.
Le HM; Dinh TS; Le HV
J Phys Chem A; 2011 Oct; 115(40):10862-70. PubMed ID: 21888438
[TBL] [Abstract][Full Text] [Related]
16. Rapid phenotypic characterization of Salmonella enterica strains by pyrolysis metastable atom bombardment mass spectrometry with multivariate statistical and artificial neural network pattern recognition.
Wilkes JG; Rushing L; Nayak R; Buzatu DA; Sutherland JB
J Microbiol Methods; 2005 Jun; 61(3):321-34. PubMed ID: 15767008
[TBL] [Abstract][Full Text] [Related]
17. Predicting survival in patients with brain metastases treated with radiosurgery using artificial neural networks.
Oermann EK; Kress MA; Collins BT; Collins SP; Morris D; Ahalt SC; Ewend MG
Neurosurgery; 2013 Jun; 72(6):944-51; discussion 952. PubMed ID: 23467250
[TBL] [Abstract][Full Text] [Related]
18. Artificial Neural Networks: an overview and their use in the analysis of the AMPHORA-3 dataset.
Buscema PM; Massini G; Maurelli G
Subst Use Misuse; 2014 Oct; 49(12):1555-68. PubMed ID: 25026388
[TBL] [Abstract][Full Text] [Related]
19. Artificial neural network analysis of hydrocarbon profiles for the ageing of Lucilia sericata for post mortem interval estimation.
Butcher JB; Moore HE; Day CR; Adam CD; Drijfhout FP
Forensic Sci Int; 2013 Oct; 232(1-3):25-31. PubMed ID: 24053861
[TBL] [Abstract][Full Text] [Related]
20. Flow injection analysis of fluoride: optimization of experimental conditions and non-linear calibration using artificial neural networks.
Zhou Y; Yan A; Xu H; Wang K; Chen X; Hu Z
Analyst; 2000 Dec; 125(12):2376-80. PubMed ID: 11219085
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]