Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marko Šetinc"'
Autor:
Marko Šetinc
Publikováno v:
Journal of Physics: Conference Series. 2339:012018
Municipal waste largely consists of carbon, hydrogen and oxygen. Other elements are represented in smaller proportions. Mostly, this type of waste ends up in the incinerator or landfill. Re-use is limited due to the contamination of the raw material.
Autor:
Silvija Zeman, Željko Perdija, Stanislav Grosu, Dušan Nolimal, Walter Chingwaru, Marko Šetinc, Tanja Bagar
Publikováno v:
Silvija Zeman
Odkritje endokanabinoidnega sistema (ECS) je bilo temeljnega pomena ne le pri razumevanju učinkov rastlinskih kanabinoidov, amapk je vodilo tudi do precej širšega biokemisjkega delovanja našega telesa in odprlo velike terapevtske potenciale. Fito
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e5c34f76499a167699fcc2a129d7b86b
https://www.bib.irb.hr/1097023
https://www.bib.irb.hr/1097023
Publikováno v:
Odgovorna organizacija / Responsible Organization.
Publikováno v:
Optimization. :1-21
This paper proposes an optimization method for a national-level highway project planning based on a modified genetic algorithm. The proposed method adds to the existing methods by integrating various planning elements into a single system. A simulati
Autor:
Janez Levec, Marko Šetinc
Publikováno v:
Chemical Engineering Science. 56:6081-6087
A dynamic model for the liquid-phase methanol synthesis with the Langmuir-Hinshelwood kinetic formulation is presented for a well-mixed slurry reactor. Responses to a step-change in the reactor feed composition were studied in a temperature range of
Publikováno v:
Neural Processing Letters. 11:219-228
A Hybrid modeling approach, combining an analytical model with a radial basis function neural network is introduced in this paper. The modeling procedure is combined with genetic algorithm based feature selection designed to select informative variab
Autor:
Janez Levec, Marko Šetinc
Publikováno v:
Chemical Engineering Science. 54:3577-3586
Liquid-phase methanol synthesis was carried out in a slurry reactor in a temperature range of 190-250°C while the total pressure was between 20 and 50 bar. A commercial Cu/ZnO/Al 2 O 3 catalyst developed to process feedstock with higher content of C
Publikováno v:
Soft Computing Approaches in Chemistry ISBN: 9783642535079
Neural network based experimental and hybrid approaches to modeling of processes are presented. A hybrid modeling, combining parametric model with radial basis function network, is proposed. The parametric model is used for principal modeling of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::078212692b022f0e962789387d26cf18
https://doi.org/10.1007/978-3-540-36213-5_11
https://doi.org/10.1007/978-3-540-36213-5_11