A Feed-Forward Back Propagation Neural Network Approach to Predict the Life Condition of Crude Oil Pipeline

Artificial intelligence approach to predict drag reduction in crude oil pipelines

(2019) Reza Zabihi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Risk assessment of process systems by mapping fault tree into artificial neural network

(2019) Makhambet Sarbayev et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

The feasibility of Levenberg–Marquardt algorithm combined with imperialist competitive computational method predicting drag reduction in crude oil pipelines

(2019) Hossein Moayedi et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Damage detection in steel-concrete composite bridge using vibration characteristics and artificial neural network

(2019) Zhi Xin Tan et al.   Structure and Infrastructure Engineering

Fault detection in distillation column using NARX neural network

(2018) Syed A. Taqvi et al.   NEURAL COMPUTING & APPLICATIONS

Performance assessment of artificial neural networks and support vector regression models for stream flow predictions

(2018) Ateeq-ur-Rauf et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Applications of artificial neural network (ANN) method for performance prediction of the effect of a vertical 90° bend on an air–silicone oil flow

(2017) P.O. Ayegba et al.   Journal of the Taiwan Institute of Chemical Engineers

Internal corrosion hazard assessment of oil & gas pipelines using Bayesian belief network model

(2016) Oleg Shabarchin et al.   JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES

Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks

(2016) Víctor Aguilar et al.   Structure and Infrastructure Engineering

Forecasting of natural gas consumption with artificial neural networks

(2015) Jolanta Szoplik   ENERGY

Artificial neural network models for predicting condition of offshore oil and gas pipelines

(2014) Mohammed S. El-Abbasy et al.   AUTOMATION IN CONSTRUCTION

Condition Prediction Models for Oil and Gas Pipelines Using Regression Analysis

(2014) Mohammed S. El-Abbasy et al.   JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT

Fuzzy-Based Model for Predicting Failure of Oil Pipelines

(2014) Ahmed Senouci et al.   Journal of Infrastructure Systems

A condition assessment model for oil and gas pipelines using integrated simulation and analytic network process

(2014) Mohammed S. El-Abbasy et al.   Structure and Infrastructure Engineering

A model for predicting failure of oil pipelines

(2013) Ahmed Senouci et al.   Structure and Infrastructure Engineering

Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

(2012) Mohammad Ali Ahmadi et al.   APPLIED SOFT COMPUTING

Assessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modeling

(2008) M. Tabesh et al.   JOURNAL OF HYDROINFORMATICS