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

Polynomial Theory of Complex Systems

A. G. Ivakhnenko · IEEE Transactions on Systems Man and Cybernetics · 1971 · 1.7K citations

Computing, Computer Science, Mathematics +17

Flow regime identification and volume fraction prediction in multiphase flows by means of gamma-ray attenuation and artificial neural networks

César Marques Salgado, Cláudio M.N.A. Pereira, Roberto Schirru et al. · Progress in Nuclear Energy · 2010 · 178 citations · Full text

Engineering, Computational Engineering, Petroleum Engineering +17

Flow regime identification and void fraction prediction in two-phase flows based on gamma ray attenuation

Gholam Hossein Roshani, Ehsan Nazemi, S.A.H. Feghhi et al. · Measurement · 2014 · 171 citations

Engineering, Petroleum Engineering, Computational Fluid Dynamics +15

Precise Void Fraction Measurement in Two-phase Flows Independent of the Flow Regime Using Gamma-ray Attenuation

Ehsan Nazemi, S.A.H. Feghhi, Gholam Hossein Roshani et al. · Nuclear Engineering and Technology · 2015 · 142 citations · Full text

Engineering, Petroleum Engineering, Instrumentation +15

Intelligent recognition of gas-oil-water three-phase flow regime and determination of volume fraction using radial basis function

Gholam Hossein Roshani, Ehsan Nazemi, M.M. Roshani · Flow Measurement and Instrumentation · 2016 · 121 citations

Engineering, Chemical Engineering, Physics +16