Open AccessImplementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems
Author(s) -
Aref Hashemi Fath,
Farshid Madanifar,
Masood Abbasi
Publication year - 2018
Publication title -
petroleum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.805
H-Index - 24
eISSN - 2405-6561
pISSN - 2405-5816
DOI - 10.1016/j.petlm.2018.12.002
Subject(s) - radial basis function , multilayer perceptron , artificial neural network , specific gravity , perceptron , bubble point , petroleum engineering , api gravity , gas oil ratio , computer science , mathematics , crude oil , artificial intelligence , bubble , engineering , chemistry , mineralogy , parallel computing
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