Related references
Note: Only part of the references are listed.Nonlinear system identification using BBO-based multilayer perceptron network method
Wei Lung Mao et al.
MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS (2021)
A new methodology for optimization and prediction of rate of penetration during drilling operations
Yanru Zhao et al.
ENGINEERING WITH COMPUTERS (2020)
Machine learning-based models for predicting permeability impairment due to scale deposition
Mohammadali Ahmadi et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2020)
Controllable drilling parameter optimization for roller cone and polycrystalline diamond bits
Ali K. Darwesh et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2020)
Optimization of choke size for two-phase flow using artificial intelligence
Mohammad Khamis et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2020)
A comparative study of heterogeneous ensemble methods for the identification of geological lithofacies
Saurabh Tewari et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2020)
Drilling Rate of Penetration Prediction of High-Angled Wells Using Artificial Neural Networks
Ahmed K. Abbas et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2019)
Development of a new rate of penetration model using self-adaptive differential evolution-artificial neural network
Salaheldin Elkatatny
ARABIAN JOURNAL OF GEOSCIENCES (2019)
A Robust Rate of Penetration Model for Carbonate Formation
Ahmad Al-AbdulJabbar et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2019)
Application of Radial Basis Function (RBF) neural networks to estimate oil field drilling fluid density at elevated pressures and temperatures
Abdol Samad Rahmati et al.
OIL & GAS SCIENCE AND TECHNOLOGY-REVUE D IFP ENERGIES NOUVELLES (2019)
Drilling performance monitoring and optimization: a data-driven approach
Shan e Zehra Lashari et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2019)
Cutting concentration prediction in horizontal and deviated wells using artificial intelligence techniques
Khaled Al-Azani et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2019)
Comparison of evolutionary multi objective optimization algorithms in optimum design of water distribution network
H. Monsef et al.
AIN SHAMS ENGINEERING JOURNAL (2019)
Drilling rate prediction from petrophysical logs and mud logging data using an optimized multilayer perceptron neural network
Mohammad Anemangely et al.
JOURNAL OF GEOPHYSICS AND ENGINEERING (2018)
Optimization of a novel programmable data-flow crypto processor using NSGA-II algorithm
Mahmoud T. El-Hadidi et al.
JOURNAL OF ADVANCED RESEARCH (2018)
A comparison of methods for denoising of well test pressure data
Seyedeh Robab Moosavi et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2018)
Cascade Forward Neural Network for Time Series Prediction
Budi Warsito et al.
7TH INTERNATIONAL SEMINAR ON NEW PARADIGM AND INNOVATION ON NATURAL SCIENCE AND ITS APPLICATION (2018)
Drilling rate of penetration prediction through committee support vector regression based on imperialist competitive algorithm
Hamid Reza Ansari et al.
CARBONATES AND EVAPORITES (2017)
Application of adaptive neuro fuzzy interface system optimized with evolutionary algorithms for modeling CO2-crude oil minimum miscibility pressure
Abdorreza Karkevandi-Talkhooncheh et al.
FUEL (2017)
Hybrid Biogeography Based Optimization-Multilayer Perceptron for Application in Intelligent Medical Diagnosis
N. F. Hordri et al.
ADVANCED SCIENCE LETTERS (2017)
Weight on drill bit prediction models: Sugeno-type and Mamdani-type fuzzy inference systems compared
Rassoul Khosravanian et al.
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING (2016)
Development of a multi-layer perceptron artificial neural network model to determine haul trucks energy consumption
Soofastaei Ali et al.
INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY (2016)
Improving the estimation accuracy of titration-based asphaltene precipitation through power-law committee machine (PLCM) model with alternating conditional expectation (ACE) and support vector regression (SVR) elements
Amin Gholami et al.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY (2016)
Application of Real-Time Field Data to Optimize Drilling Hydraulics Using Neural Network Approach
Yanfang Wang et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2015)
Realtime Rate of Penetration Optimization Using the Shuffled Frog Leaping Algorithm
Ping Yi et al.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2015)
Biogeography-based optimization (BBO) algorithm for single machine total weighted tardiness problem (SMTWTP)
Budi Santosa et al.
INDUSTRIAL ENGINEERING AND SERVICE SCIENCE 2015, IESS 2015 (2015)
Radial Basis Function Neural Network with Particle Swarm Optimization Algorithms for Regional Logistics Demand Prediction
Zhineng Hu et al.
DISCRETE DYNAMICS IN NATURE AND SOCIETY (2014)
Numerical solution of PDEs via integrated radial basis function networks with adaptive training algorithm
Hong Chen et al.
APPLIED SOFT COMPUTING (2011)
Biogeography-Based Optimization
Dan Simon
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2008)
A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2002)