Skip to main navigation
Skip to search
Skip to main content
KAUST PORTAL FOR RESEARCHERS AND STUDENTS Home
Home
Profiles
Research units
Research output
Press/Media
Prizes
Courses
Equipment
Student theses
Datasets
Search by expertise, name or affiliation
A self-adaptive deep learning algorithm for intelligent natural gas pipeline control
Tao Zhang, Hua Bai,
Shuyu Sun
King Abdullah University of Science and Technology
Earth Science and Engineering
Physical Sciences and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
32
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A self-adaptive deep learning algorithm for intelligent natural gas pipeline control'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Natural Gas Pipeline
100%
Deep Learning
100%
Adaptability
50%
Natural Gas
50%
Deep Neural Network
50%
Distance Transmission
50%
Management Process
50%
Decision Process
50%
Air Pollution
50%
Keyphrases
Pipeline Control
100%
Natural Gas pipeline
100%
Pipeline Operation
50%
Operation Status
50%
Output Features
50%
Pipeline Transportation
50%
Chemical Engineering
Deep Learning
100%
Deep Neural Network
50%