… design, least squares-support vector machine (LS-SVM) and artificial neural network (ANN) methods for modeling the facilitated adsorption of methylene blue dye
… adsorption process. The major aim of this work was to evaluate the efficiencies of LS-SVM
and ANN for modeling the adsorption … the adsorption process. Finally, the performances of the …
and ANN for modeling the adsorption … the adsorption process. Finally, the performances of the …
Modeling and optimization of oil adsorption capacity on functionalized magnetic nanoparticles using machine learning approach
… to achieve higher oil adsorption capacity. Smart models … In this study, least squares support
vector machines (LSSVM… , facilitating its practical implementation in adsorption science. …
vector machines (LSSVM… , facilitating its practical implementation in adsorption science. …
Improved Cupressus sempervirens L. galls for methylene blue removal: adsorption kinetics optimisation using the DA-LS algorithm, characterisation, and machine …
M Hentabli, M Kouider Amar… - International Journal of …, 2024 - Taylor & Francis
… To predict the adsorption capacity, the Support Vector Machine for Regression with DA (…
These interactions collectively contribute to the effective adsorption process, facilitating the …
These interactions collectively contribute to the effective adsorption process, facilitating the …
Predicting aqueous adsorption of organic compounds onto biochars, carbon nanotubes, granular activated carbons, and resins with machine learning
… as they can facilitate the design of adsorption experiments by quickly estimating the adsorbed
… We then compared the predictive models using the NN, SVM, Bagging, and three classical …
… We then compared the predictive models using the NN, SVM, Bagging, and three classical …
Prediction of CO2 adsorption on different activated carbons by hybrid group method of data-handling networks and LSSVM
L Zhou - Energy Sources, Part A: Recovery, Utilization, and …, 2019 - Taylor & Francis
… Citation2002Suykens and Vandewalle Citation1999) developed the least square modification
of the SVM (LSSVM) to facilitate the original SVM method. The Lagrangian expression for …
of the SVM (LSSVM) to facilitate the original SVM method. The Lagrangian expression for …
A stepwise-cluster inference model for phenanthrene immobilization at the aqueous/modified palygorskite interface
… The presence of HA at the low concentration facilitated the … to sorption sites and reducing
the phenanthrene sorption on … using least squares support vector machines (LSSVM) and …
the phenanthrene sorption on … using least squares support vector machines (LSSVM) and …
[HTML][HTML] Evaluation of least square support vector machine, generalized regression neural network and response surface methodology in modeling the removal of …
Z Gholami, MHA Azqhandi, MH Sabzevari… - Alexandria Engineering …, 2023 - Elsevier
… In this study, the tuning parameters of constructed N-LSSVM model (ie cost constant (C), the
… In this work, N-LSSVM was used as the best model for describing adsorption of LVX and …
… In this work, N-LSSVM was used as the best model for describing adsorption of LVX and …
Machine-learning-facilitated prediction of heavy metal contamination in distiller's dried grains with solubles
L Feng, S Chen, H Chu, C Zhang, Z Hong, Y He… - Environmental …, 2023 - Elsevier
… Support vector machine (SVM) could lead to a global model … SVR is one of the approaches
that can extend SVM to … Absorption wavelengths can be related to the overtones of C–…
that can extend SVM to … Absorption wavelengths can be related to the overtones of C–…
Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
W Zhang, W Huang, J Tan, D Huang, J Ma, B Wu - Chemosphere, 2023 - Elsevier
… In order to facilitate the rapid deployment of ML to pollutant adsorption, the principles and …
RF, multilayer perceptron and SVM models were constructed to optimize the adsorption …
RF, multilayer perceptron and SVM models were constructed to optimize the adsorption …
Machine Learning Application In Modeling Organic Pollutant Adsorption on Carbonaceous Materials: A Comprehensive Review with Statistical Insights
Z Wang, J Yu, Q Wang, F Yang, C Wang… - Available at SSRN … - papers.ssrn.com
… facilitate the development of precise and comprehensible prediction models in the adsorption
… and reliability of the SVM model for accurately predicting adsorption across a broad range …
… and reliability of the SVM model for accurately predicting adsorption across a broad range …