Copertina

A hybrid AVOA ‐ BP neural network with SHAP ‐based interpretation for wax deposition rate prediction

Fuente: Wiley Open Access

Salvato in:

Dettagli Bibliografici
Autori principali:	Peixian Li, Kai Zuo, Si Li, Kaifeng Fan
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2026
Soggetti:	The Canadian Journal of Chemical Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Wax deposition behaviour and prediction modelling of high‐wax crude oil transport in cold regions
di: Kaifeng Fan, et al.
Pubblicazione: (2025)

Numerical investigation of hydrogen‐blended natural gas dispersion control in tunnels using optimized combined baffle systems
di: Kaifeng Fan, et al.
Pubblicazione: (2026)

Effect of a new nano‐viscosity reducing agent on the rheological properties and wax deposition characteristics of waxy crude oil
di: Kai‐Feng Fan, et al.
Pubblicazione: (2024)

A physics‐constrained hybrid residual neural network for the prediction of moisture content in a closed‐cycle drying system
di: Mengfei Zhou, et al.
Pubblicazione: (2024)

Effective inhibition of crystal growth during wax deposition using CTAB‐grafted faujasite nanoparticles
di: Tamer Al‐Shboul, et al.
Pubblicazione: (2024)

Molecular simulations and deep neural networks‐based interpretable machine learning modelling of reverse adsorptive MOFs for ethane/ethylene separation
di: Khushboo Yadava, et al.
Pubblicazione: (2024)

Fault diagnosis method for chemical processes based on variable correlation‐guided convolutional neural networks
di: Zhe Zhou, et al.
Pubblicazione: (2025)

A combined approach for predicting liquid loading onset via clustering and convolutional neural networks
di: Qinghua Wang, et al.
Pubblicazione: (2026)

An adding‐points strategy surrogate model for well control optimization based on radial basis function neural network
di: Hongwei Chen, et al.
Pubblicazione: (2024)

Development of a deep neural network and empirical model for predicting local gas holdup profiles in bubble columns
di: Sebastián Uribe, et al.
Pubblicazione: (2024)

A novel ensemble network based on CNN ‐ AM ‐ BiLSTM learner for temperature prediction of distillation columns
di: Jianji Ren, et al.
Pubblicazione: (2025)

Explosion pressure and duration prediction using machine learning: A comparative study using classical models with Adam‐ optimized neural network
di: Ahmad Muzammil Idris, et al.
Pubblicazione: (2024)

Numerical investigation of thermal transport in magnetized Casson tri‐hybrid nanofluid with Cattaneo‐Christov heat flux model: Application of cascade neural network
di: Ch Muhammad Zulfiqar Umer, et al.
Pubblicazione: (2026)

Nonlinear dynamic process monitoring based on latent mapping embedding deep neural networks
di: Zhenhua Yu, et al.
Pubblicazione: (2024)

Multi‐attention key‐factor‐aware convolutional neural network developed for quality prediction of batch processes tackling data sampled at various frequencies
di: Yufeng Dong, et al.
Pubblicazione: (2025)

Leveraging neural networks to estimate parameters with confidence intervals
di: Nigel Mathias, et al.
Pubblicazione: (2024)

Liquid‐phase hydrogenation of Chinese white wax to advanced mixed alkanols over Ni‐Cu@ MgAlO catalyst
di: Lizhi Chen, et al.
Pubblicazione: (2025)

Natural wax supported by microporous biochar to create a stable phase change material
di: David Brassard, et al.
Pubblicazione: (2025)

An integrated safe operation and product quality control method for coal slurry flotation process based on hybrid Bayesian network
di: Fei Chu, et al.
Pubblicazione: (2026)

A HAZOP of dust explosion testing and explosibility modelling using artificial neural networks
di: Mohammad Alauddin, et al.
Pubblicazione: (2024)

GELU‐LSTM ‐encoder‐decoder fault prediction for batch processes based on the global–local percentile method
di: Xuejin Gao, et al.
Pubblicazione: (2024)

Soft sensor of processes based on dual attention spatio‐temporal interaction network
di: Xiaoping Guo, et al.
Pubblicazione: (2025)

Autoassociative neural network for missing data imputation: A case study via the styrene production process
di: Farough Agin, et al.
Pubblicazione: (2024)

Abnormal state prediction of flotation process based on dual attention mechanism and multivariate information fusion
di: Shu Wang, et al.
Pubblicazione: (2024)

Enhanced process monitoring for industrial coking furnace using a dual‐channel pooling and homologous bilinear model‐based convolutional neural network
di: Chunle Hua, et al.
Pubblicazione: (2024)

Dynamic NOx emission prediction for a 660 MW super‐critical coal‐fired boiler using integrated time series network with adaptive filtering and deep learning
di: Zixuan Lin, et al.
Pubblicazione: (2025)

Intelligent online process fault diagnosis through integrating Andrews function, autoencoder, and neural networks
di: Shengkai Wang, et al.
Pubblicazione: (2025)

Risk assessment of gas pipeline using an integrated Bayesian belief network and GIS: Using Bayesian neural networks for external pitting corrosion modelling
di: Haile Woldesellasse, et al.
Pubblicazione: (2024)

Soft sensor of multiple operating condition processes based on input–output correlated difference focusing networks
di: Xiaoping Guo, et al.
Pubblicazione: (2025)

Dynamically scaling spatio‐temporal semi‐supervised adaptive networks based soft sensor for industrial process
di: Xiaoping Guo, et al.
Pubblicazione: (2025)

Physics‐informed neural networks guided modelling and multiobjective optimization of a mAb production process
di: Md Nasre Alam, et al.
Pubblicazione: (2024)

An integrated tube robust iterative learning model predictive control strategy based on dynamic partial least squares algorithm for batch processes
di: Liuming Zhou, et al.
Pubblicazione: (2024)

Induction motor process monitoring in power plants based on multi‐step reconstruction‐based PCA
di: Ran Cui, et al.
Pubblicazione: (2025)

Application of artificial neural networks and Langmuir and Freundlich isotherm models to the removal of textile dye using biosorbents: A comparative study among methodologies
di: Gustavo Petroli, et al.
Pubblicazione: (2024)

Physics informed neural network simulation of trihybrid nanofluid slip flow along a catalytic surface: Fuel cell applications
di: Md. Majibul Hassan Imran, et al.
Pubblicazione: (2026)

A fast and stable fault diagnosis framework for industrial processes using a reconstruction‐based autoencoder and NSGA ‐ II
di: Kangshu Ying, et al.
Pubblicazione: (2026)

Fast predictive functional control based on auxiliary variable optimization
di: Haozhe Wu, et al.
Pubblicazione: (2026)

Multi‐mode process fault diagnosis method integrating GMM with reconstruction‐based PCA
di: Jizhen An, et al.
Pubblicazione: (2025)

A mechanism‐consistent hierarchical framework for pulp quality prediction with risk‐aware attribution in industrial refining
di: Yiqi Liu, et al.
Pubblicazione: (2026)

Detailed review of hybrid and carbon‐based nanofluids for double‐tube heat exchangers: Recent advances and performance evaluation
di: Saif Ali Kadhim, et al.
Pubblicazione: (2026)