
Development of a Universal Pressure Drop Model in Pipelines Using Group Method of Data Handling-Type Neural Networks Model
Author(s) -
Mohammed Abdalla Ayoub,
Khaled Abdalla Elraies
Publication year - 2014
Publication title -
journal of applied sciences
Language(s) - English
Resource type - Journals
eISSN - 1812-5662
pISSN - 1812-5654
DOI - 10.3923/jas.2014.3220.3227
Subject(s) - artificial neural network , pipeline transport , type (biology) , pressure drop , computer science , petroleum engineering , data mining , artificial intelligence , engineering , geology , mechanical engineering , mechanics , physics , paleontology