TECHICAL Series MATHEMATICS • INFORMATICS • PHYSICS Series PHILOLOGY Series ECONOMIC SCIENCES Sereies EDUCATIONAL SCIENCES Series LAW AND SOCIAL SCIENCES Series
Intelligent Computational Methods for Simulation and Analysis of Chemical Processes. A Comparative Review
(Metode de calcul inteligent pentru simularea şi analiza proceselor chimice. O abordare comparativă)
Vol LXVII • No. 2/2015
Cristina Popa*, Otilia Cangea*, Luana Florentina Pascu**
* Universitatea Petrol-Gaze din Ploieşti, Bd. Bucureşti 39, Ploieşti e-mail: ceftene@upg-ploiesti.ro; ocangea@upg-ploiesti.ro
** INCD ECOIND București

 Keywords   chemical processes, simulation, analysis, intelligent computation


 Abstract
Advances in computing have facilitated major progress in computational chemistry, model-based process control, and real-time process optimization. Modern computer graphics—including simulations— have greatly enhanced the ability of scientists and engineers to understand and utilize the results of their computations.The paper presents a review of some of the most important results, related to simulation and analysis of chemical processes, obtained by the authors by applying intelligent computational methods. Thus, there are presented and comparatively analized artificial neural network structures that have been succesfully applied both for predictive control systems for catalytic cracking processes and for estimating the extracting time of Au(III) from a hydrochloride solution.

 Rezumat
Lucrarea prezintă o abordare comparativă a unora dintre cele mai importante rezultate referitoare la simularea şi analiza proceselor chimice, obţinute de către autori prin aplicarea metodelor de calcul inteligent. In acest sens, sunt prezentate şi analizate comparativ două structuri de reţele neuronale artificiale, ambele de tip feedforward back propagation, care au fost utlizate cu succes în abordări diferite, atât pentru proiectarea unor sisteme de reglare predictive pentru procesele de cracare catalitică, cât şi pentru estimarea timpului de extracţie a Au(III) dintr-o soluţie hidrocloridă. De asemenea, Process Identification, din cadrul Neural Network Predictive Control toolbox-MATLAB, permite utilizarea unui model al procesului de tip retea neuronala artificiala care poate oferi predictii referitoare la performanţele şi comportarea sistemului.



Journal INFO (ISSN 1224-8495)
Vol LXVIII • No. 3/2016
Vol LXVIII • No. 2/2016
Vol LXVIII • No. 1/2016
Vol LXVII • No. 4/2015
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