Improving the diagnostics of underground pipelines at oilandgas enterprises based on determining hydrogen exponent (PH) of the soil media applying neural networks-Reference-Cited by-同舟云学术

Improving the diagnostics of underground pipelines at oilandgas enterprises based on determining hydrogen exponent (PH) of the soil media applying neural networks

Published:2019-07-30 Issue:5 (100) Volume:4 Page:56-64
ISSN:1729-4061
Container-title:Eastern-European Journal of Enterprise Technologies
language:
Short-container-title:EEJET

Author:

Yuzevych Larysa^ORCID,Skrynkovskyy Ruslan^ORCID,Yuzevych Volodymyr^ORCID,Lozovan Vitalii^ORCID,Pawlowski Grzegorz^ORCID,Yasinskyi Mykhailo^ORCID,Ogirko Ihor^ORCID

Publisher

Private Company Technology Center

Subject

Applied Mathematics,Electrical and Electronic Engineering,Management of Technology and Innovation,Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference29 articles.

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