Autor: Rahmani, H. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Removal of benzotriazole by Photo-Fenton like process using nano zero-valent iron: response surface methodology with a Box-Behnken design
Autorzy:: Ahmadi, M.
Rahmani, K.
Rahmani, A.
Rahmani, H.
Powiązania:: https://bibliotekanauki.pl/articles/779500.pdf
Data publikacji:: 2017
Wydawca:: Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Tematy:: benzotriazole
Photo-Fenton
Response surface methodology
Box-Behnken
Opis:: In this paper, the removal of benzotriazole (BTA) was investigated by a Photo-Fenton process using nano zero valent iron (NZVI) and optimization by response surface methodology based on Box-Behnken method. Effect of operating parameters affecting removal efficiency such as H₂O₂, NZVI, and BTA concentrations as well as pH was studied. All the experiments were performed in the presence of ultraviolet radiation. Predicted levels and BTA removal were found to be in good agreement with the experimental levels (R² = 0. 9500). The optimal parameters were determined at 60 min reaction time, 15 mg L^-1 BTA, 0.10 g L^-1 NZVI, and 1.5 mmol L^-1 H₂O₂ for Photo-Fenton-like reaction. NZVI was characterized using X-ray diffraction (XRD), transmission electron microscope (TEM) images, and scanning electron microscope (SEM) analysis.
Źródło:: Polish Journal of Chemical Technology; 2017, 19, 1; 104-112
1509-8117
1899-4741
Pojawia się w:: Polish Journal of Chemical Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of a neuro-fuzzy model for neutron activation analysis (NAA)Sb
Autorzy:: Khalafi, H.
Terman, M. S.
Rahmani, F.
Powiązania:: https://bibliotekanauki.pl/articles/147055.pdf
Data publikacji:: 2011
Wydawca:: Instytut Chemii i Techniki Jądrowej
Tematy:: neural network
fuzzy logic
neutron activation analysis (NAA)
gamma-line energy
Opis:: Neutron activation analysis (NAA) is a precise chemical multielemental method of analysis which is satisfactorily used for qualitative and quantitative analyses. Repeated irradiation is needed because of mal-determination of some elements due to peak overlap in qualitative analysis. In this study, NAA procedure has been modified using a neuro-fuzzy model to avoid repeated irradiation based on multilayer perceptrons network trained by the Levenberg-Marquardt algorithm. This method increases the precision of spectrum analysis in the case of strong background and peak overlap.
Źródło:: Nukleonika; 2011, 56, 1; 17-21
0029-5922
1508-5791
Pojawia się w:: Nukleonika
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: A factor graph based genetic algorithm
Autorzy:: Helmi, B. H.
Rahmani, A. T.
Pelikan, M.
Powiązania:: https://bibliotekanauki.pl/articles/330811.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: optimization problem
genetic algorithm
estimation
distribution algorithm
factor graph
matrix factorization
problem optymalizacji
algorytm genetyczny
algorytm estymacji rozkładu
faktoryzacja macierzy
Opis:: We propose a new linkage learning genetic algorithm called the Factor Graph based Genetic Algorithm (FGGA). In the FGGA, a factor graph is used to encode the underlying dependencies between variables of the problem. In order to learn the factor graph from a population of potential solutions, a symmetric non-negative matrix factorization is employed to factorize the matrix of pair-wise dependencies. To show the performance of the FGGA, encouraging experimental results on different separable problems are provided as support for the mathematical analysis of the approach. The experiments show that FGGA is capable of learning linkages and solving the optimization problems in polynomial time with a polynomial number of evaluations.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2014, 24, 3; 621-633
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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