Solubility modeling of supercritical fluid extraction in a wide range compounds: comparison between fuzzy-genetic and new empirical models

Vatani, Zoha; Bajgiran, Sadegh Ramezanian; Amini, Ghazale; Tayyebi, Shokoufe

doi:10.1080/15567036.2019.1587083

Cited by 2 publications

(2 citation statements)

References 81 publications

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“…Vatani et al 50 tested the ability of methods based on empirical equations and fuzzy-genetic models to estimate the solubility of solutes in SC-CO 2 .…”

Section: Introductionmentioning

confidence: 99%

“…Mehdizadeh and Movagharnejad 49 performed a comparison study between the GA‐LSSVM algorithm and seven semi‐empirical equations for modeling the solubility of 25 solutes in SC‐CO 2 . Vatani et al 50 tested the ability of methods based on empirical equations and fuzzy‐genetic models to estimate the solubility of solutes in SC‐CO 2 . The proposed models were compared to other empirical models.…”

Section: Introductionmentioning

confidence: 99%

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A new hybrid quantitative structure property relationships‐support vector regression (QSPR‐SVR) approach for predicting the solubility of drug compounds in supercritical carbon dioxide

et al. 2023

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The purpose of this work was to compare the performance of 7 meta‐heuristics algorithms namely: Dragonfly (DA), Ant Lion (ALO), Grey Wolf (GWO), Artificial Bee Colony (ABC), Particle Swarm (PSO), Whale (WAO), and a hybrid Particle Swarm with Grey Wolf (HPSOGWO) optimizers in terms of fine‐tuning hyper‐parameters of a hybrid quantitative structure property relationships (QSPR)‐support vector regression (SVR) for the prediction of molar fraction solubilities of drug compounds in supercritical carbon dioxide (SC‐CO2). A dataset of 168 drug compounds, 13 inputs, and 4490 experimental data points was used to achieve the goal. All 7 models were statistically and graphically approved while the HPSOGWO‐SVR was found to over‐perform with an average absolute relative deviation (AARD) of 0.706% and an AIC of −14,434,249. The model was subjected to an external test (validation) using 160 experimental data points that were not used in the training and the test set. The overall results proved that the obtained model has good predictivity ability and robustness.

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“…Vatani et al 50 tested the ability of methods based on empirical equations and fuzzy-genetic models to estimate the solubility of solutes in SC-CO 2 .…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new hybrid quantitative structure property relationships‐support vector regression (QSPR‐SVR) approach for predicting the solubility of drug compounds in supercritical carbon dioxide

et al. 2023

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Empirical analysis of the fuzzy system model of financial expenditure economic effect

Qiao

2021

IFS

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In order to analyze the effects of active fiscal policy implemented in China in the context of tax and fee reduction, this paper adopts a dynamic stochastic general equilibrium model with microeconomic foundations to study the economic effects of fiscal policy based on a comprehensive consideration of the previous literature. The empirical study based on Matlab software finds that: first, active fiscal policy has a boosting effect on the economy and can stimulate the level of output to rise in the short run; second, different fiscal policy instruments have different impact mechanisms on economic variables, and the impact paths of government consumption spending and investment spending are completely inconsistent; third, the economic effects of government tax cut policies are better than government spending policies, and structural tax cut policy is softer than universal tax cuts; fourth, expansionary government investment spending has the most significant effect on output stimulation and has a very long-term impact on output level. Through the above model analysis, this paper argues that fiscal policy should play a greater role in supporting industrial restructuring, giving full play to the long-term advantages of the interest rate effect on the basis of satisfying society’s short-term needs and pursuing prosperous economic development, increasing investment in public resource areas, deepening industrial structural reforms, offsetting negative supply shocks brought by trade frictions and cross-border investment, raising long-term output levels and increasing employment opportunities.

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Solubility modeling of supercritical fluid extraction in a wide range compounds: comparison between fuzzy-genetic and new empirical models

Cited by 2 publications

References 81 publications

A new hybrid quantitative structure property relationships‐support vector regression (QSPR‐SVR) approach for predicting the solubility of drug compounds in supercritical carbon dioxide

A new hybrid quantitative structure property relationships‐support vector regression (QSPR‐SVR) approach for predicting the solubility of drug compounds in supercritical carbon dioxide

Empirical analysis of the fuzzy system model of financial expenditure economic effect

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