Filters
cris logo
-
New search Filters
Select from list
Displayed from Show more
You have reached the maximum number of displayed search results.
All results displayed
No results are available for the search performed
Displayed from
You have reached the maximum number of displayed search results.
All results displayed
Loading results
Obtaining statistical data

Projects / Programmes source: ARIS

Hierarhične nevronske mreže za reševanje kompleksnih problemov (Slovene)

Edit
Research activity

Code Science Field Subfield
2.07.07  Engineering sciences and technologies  Computer science and informatics  Intelligent systems - software 

Code Science Field
P170  Natural sciences and mathematics  Computer science, numerical analysis, systems, control 
Keywords
quantum neuron, cellular structures, hierarchical neural systems
Evaluation (rules)
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
Researchers (7)
no. Code Name and surname Research area Role Period No. of publications
1.  17136  Vito Čehovin    Researcher  1999 - 2001  14 
2.  02272  PhD Andrej Dobnikar  Computer science and informatics  Head  1998 - 2001  212 
3.  16325  PhD Ivan Gabrijel  Computer science and informatics  Researcher  1998 - 2001  12 
4.  16109  PhD Uroš Lotrič  Computer science and informatics  Researcher  1998 - 2001  176 
5.  14300  PhD Branko Šter  Computer science and informatics  Researcher  1999 - 2001  151 
6.  06795  PhD Mira Trebar  Computer science and informatics  Researcher  1999 - 2001  197 
7.  18296  PhD Simon-Peter Vavpotič  Computer science and informatics  Researcher  1998 - 2001  62 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  1539  University of Ljubljana, Faculty of Computer and Information Science  Ljubljana  1627023  16,239 
Abstract
Study of a quantum neural model with variable function generators in the role of weights. Analysis of cellular topology, development of learning algorithms for cellular neural networks, search for various learning methods and self-organisation. Hierarchical neural networks with modular neural networks at various levels. Mapping and search and control types of modules. Establishment of a hierarchical neural system for the solving of complex problems.
Confirmation required
Views history
Favourite