PRSV equation of state parameter modeling through artificial neural network and adaptive network-based fuzzy inference system

Hatami, Tahmaseb; Rahimi, Masoud; Daraei, Hiua; Heidaryan, Ehsan; Alsairafi, Ammar Abdulaziz

doi:10.1007/s11814-011-0235-x

Cited by 14 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In simple terms, serial hybrid models generally substitute low-dimensional parametrizations of semiempirical models with ANNs (e.g., an ANN can be used instead of Antoine's equation for computing the pure component saturation pressure). Although not labeled as hybrid models, this approach has been utilized for VLE modelling in the literature by reparametrizing already established semi-empirical models such as NRTL [46], PR EoS [47] or PRSV EoS [48].…”

Section: Hybrid Modelsmentioning

confidence: 99%

Thermodynamically Consistent Vapor-Liquid Equilibrium Modelling with Artificial Neural Networks

Abaíd¹,

Svendsen

Jakobsen³

2022

SSRN Journal

View full text Add to dashboard Cite

Section: Hybrid Modelsmentioning

confidence: 99%

Thermodynamically Consistent Vapor-Liquid Equilibrium Modelling with Artificial Neural Networks

Abaíd¹,

Svendsen

Jakobsen³

2022

SSRN Journal

View full text Add to dashboard Cite

“…Back propagation algorithm has been used as it is very fast and user friendly. The number of hidden layers, neurons of each hidden layer, and learning rate were determined via trial and error [16][17][18][19].…”

Section: Artificial Neural Network Modelingmentioning

confidence: 99%

Azo Dye DB71 Degradation Using Ultrasonic-Assisted Fenton Process: Modeling and Process Optimization

et al. 2014

Self Cite

View full text Add to dashboard Cite

In the present study, ultrasonic-assisted Fenton process called sono-Fenton (SF) with low concentration of Fenton reagents was studied via degradation of Direct Blue 71. Influences of seven operational parameters including initial pH (pH 0 ), initial concentration of pollutant (C 0 ), dose of Fenton reagents (C Fe and C H2O2 ), ultrasound irradiation frequency (Fr S ), ultrasound irradiation power (P S ), and treatment time (t SF ) were investigated on the dye removal efficiency (DR). A combined design of experiments consists of full factorial for t SF , and Taguchi for other six parameters was designed, and experiments were conducted in accordance with the design. The experimental data were collected using a batch reactor equipped with controllable ultrasonic bath. The DR of 0-33.5 mg/l was achieved under experimental conditions. These results approved that the SF process can be a promising approach in terms of colored wastewater treatment. The data were used for model building by Taguchi and artificial neural network. Further statistical tests were applied to exhibit models goodness and to compare models. Finally, optimization process was carried out using Taguchi and genetic algorithm. The optimization procedure causes optimal point which gives an insight of optimal operating condition.

show abstract

Modeling and performance/sensitivity analysis of a thermally regenerative electrochemical refrigerator powered by thermoelectric generator

2023

View full text Add to dashboard Cite

PRSV equation of state parameter modeling through artificial neural network and adaptive network-based fuzzy inference system

Cited by 14 publications

References 21 publications

Thermodynamically Consistent Vapor-Liquid Equilibrium Modelling with Artificial Neural Networks

Thermodynamically Consistent Vapor-Liquid Equilibrium Modelling with Artificial Neural Networks

Azo Dye DB71 Degradation Using Ultrasonic-Assisted Fenton Process: Modeling and Process Optimization

Modeling and performance/sensitivity analysis of a thermally regenerative electrochemical refrigerator powered by thermoelectric generator

Contact Info

Product

Resources

About