Utilizing Hopfield neural networks in the analysis of reluctance motors
- 1 January 2000
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Magnetics
- Vol. 36 (5) , 3147-3149
- https://doi.org/10.1109/20.908715
Abstract
No abstract availableThis publication has 4 references indexed in Scilit:
- Effects of airgap and magnet shapes on permanent magnet reluctance torqueIEEE Transactions on Magnetics, 1999
- An improved magnetic equivalent circuit method for predicting the characteristics of highly saturated electromagnetic devicesIEEE Transactions on Magnetics, 1998
- Magnetic field and core loss evaluation of ALA-motor synchronous reluctance machines taking into account material anisotropyIEEE Transactions on Magnetics, 1998
- Reluctance Synchronous Machines and DrivesPublished by Oxford University Press (OUP) ,1996