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A review on robust M-estimators for regression analysis
Regression analysis constitutes an important tool for investigating the effect of explanatory
variables on response variables. When outliers and bias errors are present, the weighted …
variables on response variables. When outliers and bias errors are present, the weighted …
Designing and optimizing deviated wellbore trajectories using novel particle swarm algorithms
Wellbore trajectory design is a determinant issue in drilling engineering. This paper
introduces a new stochastic approach for drilling trajectory design applying continuous …
introduces a new stochastic approach for drilling trajectory design applying continuous …
The accuracy and efficiency of GA and PSO optimization schemes on estimating reaction kinetic parameters of biomass pyrolysis
Reaction kinetic parameters estimation of biomass pyrolysis is a relatively difficult
optimization problem due to the complexity of pyrolysis model. Two common heuristic …
optimization problem due to the complexity of pyrolysis model. Two common heuristic …
Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm
C Li, J Zhou - Energy Conversion and Management, 2011 - Elsevier
Parameter identification of hydraulic turbine governing system (HTGS) is crucial in precise
modeling of hydropower plant and provides support for the analysis of stability of power …
modeling of hydropower plant and provides support for the analysis of stability of power …
Supervised nonlinear dynamic system for soft sensor application aided by variational auto-encoder
B Shen, Z Ge - IEEE Transactions on Instrumentation and …, 2020 - ieeexplore.ieee.org
Dynamic data modeling has been attracting much attention from researchers and has been
introduced into the probabilistic latent variable model in the process industry. It is a huge …
introduced into the probabilistic latent variable model in the process industry. It is a huge …
Estimating hydrogen sulfide solubility in ionic liquids using a machine learning approach
For the design and development of new processes of gas sweetening using ionic liquids
(ILs), as promising candidates for amine solutions, an amazing model to predict the solubility …
(ILs), as promising candidates for amine solutions, an amazing model to predict the solubility …
Plate-fin heat exchanger optimal design for industry employing both single and multi-objective chaotic opposition based Kho-Kho algorithm
Manufacturers of heat exchangers are constantly looking for new and better designs
because it is essential to the preparation of any engineering gadget, like a Plate-fin heat …
because it is essential to the preparation of any engineering gadget, like a Plate-fin heat …
Simultaneous robust data reconciliation and gross error detection through particle swarm optimization for an industrial polypropylene reactor
In a previous study, a nonlinear dynamic data reconciliation procedure (NDDR) based on
the particle swarm optimization (PSO) method was developed and validated in line and in …
the particle swarm optimization (PSO) method was developed and validated in line and in …
Connectionist intelligent model estimates output power and torque of stirling engine
Stirling engine is an Environmental friendly heat engine which can reduce CO 2 emission
through combustion process. Various criteria should be considered for designing and …
through combustion process. Various criteria should be considered for designing and …
A computational intelligence scheme for prediction equilibrium water dew point of natural gas in TEG dehydration systems
Raw natural gases are frequently saturated with water during production operations. It is
crucial to remove water from natural gas using dehydration process in order to eliminate …
crucial to remove water from natural gas using dehydration process in order to eliminate …