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Artificial neural network model for bridge deterioration and assessment
Gasser Ali
, Amr Elsayegh
,
Rayan Assaad
, Islam H. El-Adaway
, Ibrahim S. Abotaleb
Research output
:
Contribution to conference
›
Paper
›
peer-review
10
Scopus citations
Overview
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Dive into the research topics of 'Artificial neural network model for bridge deterioration and assessment'. Together they form a unique fingerprint.
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Keyphrases
Missouri
100%
Artificial Neural Network Model
100%
Bridge Deterioration
100%
Bridge Assessment
100%
Artificial Neural Network
75%
Maintenance Repair
50%
Maintenance & Rehabilitation
50%
Statistical Analysis
25%
Deterioration Behavior
25%
Fund Allocation
25%
Department of Transportation
25%
Maintenance Scheduling
25%
Markovian Model
25%
Rehabilitation Plan
25%
Linear Regression Model
25%
Bridge Maintenance
25%
Bridge Rehabilitation
25%
Assessment Model
25%
Predicting the Future
25%
Deterioration Assessment
25%
Network Deterioration
25%
Long-span Bridge
25%
Gasoline Tax
25%
Bride
25%
Bridge Condition
25%
Repair Plan
25%
Fuzzy Logic Model
25%
Bridge Repair
25%
Engineering
Artificial Neural Network
100%
Artificial Neural Network Model
100%
Data Point
33%
Bridge Maintenance
33%
Deterioration Assessment
33%
Earth and Planetary Sciences
Artificial Neural Network
100%
Missouri
100%
Fuzzy Mathematics
25%