Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter-Reference-Cited by-同舟云学术

Application of GMDH neural network technique to improve measuring precision of a simplified photon attenuation based two-phase flowmeter

Published:2020-10 Issue: Volume:75 Page:101804
ISSN:0955-5986
Container-title:Flow Measurement and Instrumentation
language:en
Short-container-title:Flow Measurement and Instrumentation

Author:

Roshani Mohammadmehdi,Sattari Mohammad Amir,Muhammad Ali Peshawa Jammal^ORCID,Roshani Gholam Hossein,Nazemi Behrooz,Corniani Enrico^ORCID,Nazemi Ehsan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Instrumentation,Modeling and Simulation

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3. Electrical tomography: a review of configurations, and application to fibre flow suspensions characterisation;Faia;Appl. Sci.,2020

4. Void fraction measurement in steam–water two-phase flow using the gamma ray attenuation under high pressure and high temperature evaporating conditions;Zhao;Flow Meas. Instrum.,2016

5. A compact low energy multibeam gamma-ray densitometer for pipe-flow measurements;Tjugum;Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. Atoms,2002

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