Projects / Programmes source: ARIS

Introduction of fuzzy logic, neural network and genetic algorithms in design of electric machines

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Research activity

Code Science Field Subfield
2.12.01  Engineering sciences and technologies  Electric devices  Electromagnetic transformers 

Code Science Field
T190  Technological sciences  Electrical engineering 
Keywords
electric machines, design, 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 (4)
1538  University of Ljubljana, Faculty of Electrical Engineering
no. Code Name and surname Research area Role Period No. of publications
1.  06632  PhD Maks Berlec  Electric devices  Researcher  1998 - 2001  66 
2.  01955  PhD Konrad Lenasi  Electric devices  Head  1998 - 2001  200 
3.  14925  MSc Danilo Makuc  Electric devices  Researcher  1998 - 2001  125 
4.  14838  PhD Damijan Miljavec  Electric devices  Researcher  1998 - 2001  370 
Abstract
With proposed project we want to transfer classic design of electric machines into newer fields of fuzzy logic, neural networks and genetic algorithms. These areas are better known in the control techiques. Connection of these four fiels means the potential discovery and development of new scientific theory in design of electric machines. Transfer of new theory in practice work will potentially enable to produce electric machines with better performances.
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