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

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

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Researchers (4)

no.	Code	Name and surname	Research area	Role	Period	No. of publicationsNo. of publications
1.	06632	PhD Maks Berlec	Electric devices	Researcher	1998 - 2001	66
2.	01955	PhD Konrad Lenasi	Electric devices	Head	1998 - 2001	199
3.	14925	MSc Danilo Makuc	Electric devices	Researcher	1998 - 2001	122
4.	14838	PhD Damijan Miljavec	Electric devices	Researcher	1998 - 2001	354

Organisations (1)

no.	Code	Research organisation	City	Registration number	No. of publicationsNo. of publications
1.	1538	University of Ljubljana, Faculty of Electrical Engineering	Ljubljana	1626965	27,763

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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