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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

83 related articles for article (PubMed ID: 18249903)

  • 1. Semiparametric ARX neural-network models with an application to forecasting inflation.
    Chen X; Racine J; Swanson NR
    IEEE Trans Neural Netw; 2001; 12(4):674-83. PubMed ID: 18249903
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Development of predictive models for determining enterococci levels at Gulf Coast beaches.
    Zhang Z; Deng Z; Rusch KA
    Water Res; 2012 Feb; 46(2):465-74. PubMed ID: 22130001
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Study on Regional GDP Forecasting Analysis Based on Radial Basis Function Neural Network with Genetic Algorithm (RBFNN-GA) for Shandong Economy.
    Zhang Q; Abdullah AR; Chong CW; Ali MH
    Comput Intell Neurosci; 2022; 2022():8235308. PubMed ID: 35126503
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Nonlinear autoregressive neural networks with external inputs for forecasting of typhoon inundation level.
    Ouyang HT
    Environ Monit Assess; 2017 Aug; 189(8):376. PubMed ID: 28681325
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sequential forecast of incident duration using Artificial Neural Network models.
    Wei CH; Lee Y
    Accid Anal Prev; 2007 Sep; 39(5):944-54. PubMed ID: 17303059
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving risk adjustment for Medicare capitated reimbursement using nonlinear models.
    Veazie PJ; Manning WG; Kane RL
    Med Care; 2003 Jun; 41(6):741-52. PubMed ID: 12773840
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Chemometrics-assisted simultaneous voltammetric determination of ascorbic acid, uric acid, dopamine and nitrite: application of non-bilinear voltammetric data for exploiting first-order advantage.
    Gholivand MB; Jalalvand AR; Goicoechea HC; Skov T
    Talanta; 2014 Feb; 119():553-63. PubMed ID: 24401455
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial neural networks applied to forecasting time series.
    Montaño Moreno JJ; Palmer Pol A; Muñoz Gracia P
    Psicothema; 2011 Apr; 23(2):322-9. PubMed ID: 21504688
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Intelligent Soft Computing on Forex: Exchange Rates Forecasting with Hybrid Radial Basis Neural Network.
    Falat L; Marcek D; Durisova M
    ScientificWorldJournal; 2016; 2016():3460293. PubMed ID: 26977450
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Inflation Prediction Method Based on Deep Learning.
    Yang C; Guo S
    Comput Intell Neurosci; 2021; 2021():1071145. PubMed ID: 34456988
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using the R-MAPE index as a resistant measure of forecast accuracy.
    Montaño Moreno JJ; Palmer Pol A; Sesé Abad A; Cajal Blasco B
    Psicothema; 2013; 25(4):500-6. PubMed ID: 24124784
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Forecasting daily patient volumes in the emergency department.
    Jones SS; Thomas A; Evans RS; Welch SJ; Haug PJ; Snow GL
    Acad Emerg Med; 2008 Feb; 15(2):159-70. PubMed ID: 18275446
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Linear and nonlinear modeling approaches for urban air quality prediction.
    Singh KP; Gupta S; Kumar A; Shukla SP
    Sci Total Environ; 2012 Jun; 426():244-55. PubMed ID: 22542239
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Application of wavelet neural networks model to forecast incidence of syphilis].
    Zhou XF; Feng ZJ; Yang WZ; Li XS
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2011 Jul; 42(4):544-7. PubMed ID: 21866645
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ordinal Time Series Forecasting of the Air Quality Index.
    Chen CWS; Chiu LM
    Entropy (Basel); 2021 Sep; 23(9):. PubMed ID: 34573792
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. [Artificial neural network forecasting method in monitoring technique by spectrometric oil analysis].
    Yang YW; Chen G; Yang YW; Chen G
    Guang Pu Xue Yu Guang Pu Fen Xi; 2005 Aug; 25(8):1339-43. PubMed ID: 16329517
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition.
    Wang WC; Chau KW; Qiu L; Chen YB
    Environ Res; 2015 May; 139():46-54. PubMed ID: 25684671
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Application of artificial neural networks on the prediction of surface ozone concentrations].
    Shen LL; Wang YX; Duan L
    Huan Jing Ke Xue; 2011 Aug; 32(8):2231-5. PubMed ID: 22619942
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data.
    Oprea SV; Pîrjan A; Căruțașu G; Petroșanu DM; Bâra A; Stănică JL; Coculescu C
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29734761
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.