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A. Adineh-Vand
Researcher at Islamic Azad University
Publications - 3
Citations - 159
A. Adineh-Vand is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Adaptive neuro fuzzy inference system & Mean squared error. The author has an hindex of 3, co-authored 3 publications receiving 122 citations.
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Journal ArticleDOI
Precise volume fraction prediction in oil-water-gas multiphase flows by means of gamma-ray attenuation and artificial neural networks using one detector
Gholam Hossein Roshani,Seyed Amir Hossein Feghhi,Ahmad Mahmoudi-Aznaveh,Ehsan Nazemi,A. Adineh-Vand +4 more
TL;DR: A proposed ANN architecture is used to predict the oil, water and air percentage, precisely, based on nuclear technique in annular multiphase regime using only one detector and a dual energy gamma-ray source.
Journal ArticleDOI
Application of adaptive neuro-fuzzy inference system in prediction of fluid density for a gamma ray densitometer in petroleum products monitoring
Gholam Hossein Roshani,Gholam Hossein Roshani,Seyed Amir Hossein Feghhi,A. Adineh-Vand,M. Khorsandi +4 more
TL;DR: The proposed adaptive neuro-fuzzy inference system (ANFIS) model has achieved good agreement with the experimental results and has a small error between the estimated and experimental values.
Journal ArticleDOI
Application of Adaptive Neuro-Fuzzy Inference System for Prediction of Neutron Yield of IR-IECF Facility in High Voltages
A. Adineh-Vand,M. Torabi,Gholam Hossein Roshani,Gholam Hossein Roshani,Mostafa Taghipour,Seyed Amir Hossein Feghhi,mandana rezaei,S. M. Sadati +7 more
TL;DR: In this article, adaptive neuro-fuzzy inference system (ANFIS) was used to predict the neutron production rate (NPR) of IR-IECF device in wide discharge current and voltage ranges.