Detecting flow meter drift by using artificial neural networks

Publisher： WITPress

E-ISSN： 1743-761x|6|4|1-10

ISSN： 1743-7601

Source： International Journal of Sustainable Development and Planning, Vol.6, Iss.4, 2011-11, pp. : 1-10

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Suppression of flow-induced vibrations using ribbon fairings

By  

International Journal of Computational Methods and Experimental Measurements, Vol. 1, Iss. 4, 2013-12 ,pp. : 1-11

WITPress

Access to resources Recommend Favorite

Numerical simulation and experimental validation of a hypersonic flow for numerical modulation of re-entry phenomena prediction using adaptive mesh refinement

By  

International Journal of Computational Methods and Experimental Measurements, Vol. 1, Iss. 4, 2013-12 ,pp. : 1-14

WITPress

Access to resources Recommend Favorite

Development of openfoam solvers for incompressible navier–stokes equations based on high-order runge–kutta schemes

By  

International Journal of Computational Methods and Experimental Measurements, Vol. 4, Iss. 4, 2016-11 ,pp. : 1-10

WITPress

Access to resources Recommend Favorite

Modelling of Bubbly Flow Using CFD-PBM Solver in OpenFOAM: Study of Local Population Balance Models and Extended Quadrature Method of Moments Applications

By Askari Ehsan   Proulx Pierre   Passalacqua Alberto  

ChemEngineering, Vol. 2, Iss. 1, 2018-02 ,pp. : 8-8

MDPI

Access to resources Recommend Favorite

The Internet of Things: Enabling Artificial Intelligence

By  

International Journal of Hyperconnectivity and the Internet of Things, Vol. 2, Iss. 1, 2018-01 ,pp. : 1-11

IGI Global_journal

Access to resources Recommend Favorite