Rotor strength analysis for high speed permanent magnet machines
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Year
: 2014DOI: 10.1109/ECS.2014.6892584
Keyword(s): ART neural nets,n cellular radio,n mobility management (mobile radio),n pattern clustering,n telecommunication computing,n cell location estimation,n generalized adaptive resonance theory,n geographical clustering technique,n mobile networks,n mobile terminal location estimation,n mobile terminal service prediction,n mobile user equipment profile predictability framework,n mobility management mechanism,n network overhead,n neural network,n wireless ce
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Rotor strength analysis for high speed permanent magnet machines
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| contributor author | Liangliang Chen | |
| contributor author | Changsheng Zhu | |
| date accessioned | 2020-03-12T22:31:50Z | |
| date available | 2020-03-12T22:31:50Z | |
| date issued | 2014 | |
| identifier other | 7013438.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1086092 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Rotor strength analysis for high speed permanent magnet machines | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8223706 | |
| subject keywords | ART neural nets | |
| subject keywords | n cellular radio | |
| subject keywords | n mobility management (mobile radio) | |
| subject keywords | n pattern clustering | |
| subject keywords | n telecommunication computing | |
| subject keywords | n cell location estimation | |
| subject keywords | n generalized adaptive resonance theory | |
| subject keywords | n geographical clustering technique | |
| subject keywords | n mobile networks | |
| subject keywords | n mobile terminal location estimation | |
| subject keywords | n mobile terminal service prediction | |
| subject keywords | n mobile user equipment profile predictability framework | |
| subject keywords | n mobility management mechanism | |
| subject keywords | n network overhead | |
| subject keywords | n neural network | |
| subject keywords | n wireless ce | |
| identifier doi | 10.1109/ECS.2014.6892584 | |
| journal title | lectrical Machines and Systems (ICEMS), 2014 17th International Conference on | |
| filesize | 293399 | |
| citations | 0 |