BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

514 related articles for article (PubMed ID: 16806660)

  • 1. 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]  

  • 2. Artificial neural network modelling of a large-scale wastewater treatment plant operation.
    Güçlü D; Dursun S
    Bioprocess Biosyst Eng; 2010 Nov; 33(9):1051-8. PubMed ID: 20445993
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Modeling the performance of "up-flow anaerobic sludge blanket" reactor based wastewater treatment plant using linear and nonlinear approaches--a case study.
    Singh KP; Basant N; Malik A; Jain G
    Anal Chim Acta; 2010 Jan; 658(1):1-11. PubMed ID: 20082768
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hybrid neural network modeling of a full-scale industrial wastewater treatment process.
    Lee DS; Jeon CO; Park JM; Chang KS
    Biotechnol Bioeng; 2002 Jun; 78(6):670-82. PubMed ID: 11992532
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sequential modelling of a full-scale wastewater treatment plant using an artificial neural network.
    Lee JW; Suh C; Hong YS; Shin HS
    Bioprocess Biosyst Eng; 2011 Oct; 34(8):963-73. PubMed ID: 21533792
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Modelling of COD removal in a biological wastewater treatment plant using adaptive neuro-fuzzy inference system and artificial neural network.
    Civelekoglu G; Yigit NO; Diamadopoulos E; Kitis M
    Water Sci Technol; 2009; 60(6):1475-87. PubMed ID: 19759450
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Effects of phase vector and history extension on prediction power of adaptive-network based fuzzy inference system (ANFIS) model for a real scale anaerobic wastewater treatment plant operating under unsteady state.
    Perendeci A; Arslan S; Tanyolaç A; Celebi SS
    Bioresour Technol; 2009 Oct; 100(20):4579-87. PubMed ID: 19525108
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improving neural network prediction of effluent from biological wastewater treatment plant of industrial park using fuzzy learning approach.
    Pai TY; Wang SC; Chiang CF; Su HC; Yu LF; Sung PJ; Lin CY; Hu HC
    Bioprocess Biosyst Eng; 2009 Oct; 32(6):781-90. PubMed ID: 19253022
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modeling photosynthetically oxygenated biodegradation processes using artificial neural networks.
    Arranz A; Bordel S; Villaverde S; Zamarreño JM; Guieysse B; Muñoz R
    J Hazard Mater; 2008 Jun; 155(1-2):51-7. PubMed ID: 18164545
    [TBL] [Abstract][Full Text] [Related]  

  • 10. New simulators for the optimum management and operation of wastewater treatment plant.
    Ayesa E; Garralon G; Rivas A; Suescun J; Larrea L; Plaza F
    Water Sci Technol; 2001; 44(2-3):1-8. PubMed ID: 11547971
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Neural network prediction of thermophilic (65 degrees C) sulfidogenic fluidized-bed reactor performance for the treatment of metal-containing wastewater.
    Sahinkaya E; Ozkaya B; Kaksonen AH; Puhakka JA
    Biotechnol Bioeng; 2007 Jul; 97(4):780-7. PubMed ID: 17154306
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Using bioprocess stoichiometry to build a plant-wide mass balance based steady-state WWTP model.
    Ekama GA
    Water Res; 2009 May; 43(8):2101-20. PubMed ID: 19345392
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A systematic approach to data-driven modeling and soft sensing in a full-scale plant.
    Kim MH; Kim YS; Prabu AA; Yoo CK
    Water Sci Technol; 2009; 60(2):363-70. PubMed ID: 19633378
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A model-based approach to predicting BOD5 in settled sewage.
    Brydon DA; Frodsham DA
    Water Sci Technol; 2001; 44(2-3):9-15. PubMed ID: 11548026
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Applications of Artificial Neural Networks in integrated water management: fiction or future?
    Schulze FH; Wolf H; Jansen HW; van der Veer P
    Water Sci Technol; 2005; 52(9):21-31. PubMed ID: 16445170
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modeling of a reactive primary clarifier.
    Gernaey K; Vanrolleghem PA; Lessard P
    Water Sci Technol; 2001; 43(7):73-81. PubMed ID: 11385877
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Optimisation of a large WWTP thanks to mathematical modelling.
    Printemps C; Baudin A; Dormoy T; Zug M; Vanrolleghem PA
    Water Sci Technol; 2004; 50(7):113-22. PubMed ID: 15553466
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique.
    Dogan E; Sengorur B; Koklu R
    J Environ Manage; 2009 Feb; 90(2):1229-35. PubMed ID: 18691805
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evolutionary self-organising modelling of a municipal wastewater treatment plant.
    Hong YS; Bhamidimarri R
    Water Res; 2003 Mar; 37(6):1199-212. PubMed ID: 12598184
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Parallel hybrid modeling methods for a full-scale cokes wastewater treatment plant.
    Lee DS; Vanrolleghem PA; Park JM
    J Biotechnol; 2005 Feb; 115(3):317-28. PubMed ID: 15639094
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.