Projects / Programmes source: ARIS

Modeliranje procesa izdelave premazanega papirja s pomočjo nevronskih mrez (Slovene)

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Research activity

Code Science Field Subfield
4.01.03  Biotechnical sciences  Forestry, wood and paper technology  Paper technology 

Code Science Field
T460  Technological sciences  Wood, pulp and paper technology 
Keywords
papermaking, coating, modeling, neural networks
Evaluation (metodology)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Organisations (1) , Researchers (14)
0219  Pulp and Paper Institute
no. Code Name and surname Research area Role Period No. of publications
1.  02461  PhD Marjeta Černič  Forestry, wood and paper technology  Researcher  2000 - 2002  256 
2.  12003  PhD Jožica Dolenc  Veterinarian medicine  Researcher  2000 - 2002  94 
3.  06318  PhD Tjaša Drnovšek  Forestry, wood and paper technology  Researcher  2000 - 2002  99 
4.  15846  PhD Aleš Hladnik  Communications technology  Researcher  2000 - 2002  329 
5.  10651  Matjaž Jeločnik  Forestry, wood and paper technology  Researcher  2000 - 2002  17 
6.  18314  Cirila Klaus    Researcher  2000 - 2002  0 
7.  17357  Helena Modic    Researcher  2000 - 2002  0 
8.  01702  PhD Adolf Može  Forestry, wood and paper technology  Head  2000 - 2002  172 
9.  19590  PhD Deja Muck  Communications technology  Researcher  2000 - 2002  571 
10.  08657  PhD Gabrijela Novak  Forestry, wood and paper technology  Researcher  2000 - 2002  186 
11.  17363  Edvard Podobnik    Researcher  2000 - 2002  7 
12.  06283  PhD Vera Rutar  Forestry, wood and paper technology  Researcher  2000 - 2002  135 
13.  17454  Leopold Scheicher    Researcher  2000 - 2002  102 
14.  17355  Jani Vidmar    Researcher  2000 - 2002  0 
Abstract
Industrial coated paper production is an example of a complex technological process composed of several individual operations. In this project mathematical models based on artificial neural networks will be developed which will enable prediction of coated paper characteristics. Through multivariate analysis methods, parameters with the biggest effect on the process and therefore on final product quality will be identified.
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