Zero sequence blocking transformers for multi-pulse rectifier in aerospace applications
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/IranianCIS.2014.6802567
کلیدواژه(گان): learning (artificial intelligence),n maximum entropy methods,n natural language processing,n pattern classification,n speech processing,n text analysis,n English language,n Persian POS tagging improvement,n Persian language,n contextual properties,n free-order language,n grammatical properties,n input sentences,n machine learning classifier,n maximum entropy model,n multicategory word disambiguation,n part-of-speech tagging,n part-of-speech tagg
کالکشن
:
-
آمار بازدید
Zero sequence blocking transformers for multi-pulse rectifier in aerospace applications
Show full item record
| contributor author | Yao, Wenli | |
| contributor author | Blaabjerg, Frede | |
| contributor author | Zhang, Xiaobin | |
| contributor author | Yang, Yongheng | |
| contributor author | Gao, Zhaohui | |
| date accessioned | 2020-03-12T21:40:59Z | |
| date available | 2020-03-12T21:40:59Z | |
| date issued | 2014 | |
| identifier other | 6953508.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1056840 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Zero sequence blocking transformers for multi-pulse rectifier in aerospace applications | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8187975 | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | n maximum entropy methods | |
| subject keywords | n natural language processing | |
| subject keywords | n pattern classification | |
| subject keywords | n speech processing | |
| subject keywords | n text analysis | |
| subject keywords | n English language | |
| subject keywords | n Persian POS tagging improvement | |
| subject keywords | n Persian language | |
| subject keywords | n contextual properties | |
| subject keywords | n free-order language | |
| subject keywords | n grammatical properties | |
| subject keywords | n input sentences | |
| subject keywords | n machine learning classifier | |
| subject keywords | n maximum entropy model | |
| subject keywords | n multicategory word disambiguation | |
| subject keywords | n part-of-speech tagging | |
| subject keywords | n part-of-speech tagg | |
| identifier doi | 10.1109/IranianCIS.2014.6802567 | |
| journal title | nergy Conversion Congress and Exposition (ECCE), 2014 IEEE | |
| filesize | 938549 | |
| citations | 0 |