Amanote Research

Amanote Research

    RegisterSign In

Input Variable Selection for Data-Driven Models of Coriolis Flowmeters for Two-Phase Flow Measurement

Measurement Science and Technology - United Kingdom
doi 10.1088/1361-6501/aa57d6
Full Text
Open PDF
Abstract

Available in full text

Categories
InstrumentationEngineeringApplied Mathematics
Date

February 2, 2017

Authors
Lijuan WangYong YanXue WangTao Wang
Publisher

IOP Publishing


Related search

Gas-Liquid Two-Phase Flow Measurement Using Coriolis Flowmeters Incorporating Neural Networks

2016English

A Phase Difference Measurement Method Based on the Extended Kalman Filter for Coriolis Mass Flowmeters

Measurement Science Review
ControlSystems EngineeringBiomedical EngineeringInstrumentation
2019English

Input/Output Selection for Planar Tensegrity Models

English

Two-Phase Flow in Rotating Hele-Shaw Cells With Coriolis Effects

Interfaces and Free Boundaries
SurfacesInterfaces
2013English

Boundary Conditions for the Coupling of Two-Phase Flow Models

2007English

Comparison of Two Data-Driven Approaches for Daily River Flow Forecasting

2011English

A Taylor Series Based Input Variable Selection for Nonlinear System

2005English

Two-Phase Flow Models for Thermal Behavior Interpretation in Horizontal Wellbores

Journal of Petroleum Exploration and Production Technology
Geotechnical EngineeringEnergyEngineering Geology
2015English

Variable Selection for High-Dimensional Generalized Varying-Coefficient Models

Statistica Sinica
UncertaintyStatisticsProbability
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy