Applications of probabilistic model based on main quantum mechanics concepts
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: 2014شناسه الکترونیک: 10.1109/IJCNN.2014.6889887
کلیدواژه(گان): asynchronous generators,n fault diagnosis,n learning (artificial intelligence),n optimisation,n pattern classification,n power engineering computing,n wind turbines,n DFIG,n IWO algorithm,n NWAO,n base classifiers,n doubly-fed induction generator,n ensemble design,n fault class optimal detection,n fault diagnosis,n incremental learning,n invasive weed optimization method,n multiclassifier diagnostic system,n new class false alarm rate,n ne
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Applications of probabilistic model based on main quantum mechanics concepts
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| contributor author | Jankovic, M.V. | |
| contributor author | Gajic, T. | |
| contributor author | Reljin, B.D. | |
| date accessioned | 2020-03-12T22:28:28Z | |
| date available | 2020-03-12T22:28:28Z | |
| date issued | 2014 | |
| identifier other | 7011453.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1084255?locale-attribute=fa | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Applications of probabilistic model based on main quantum mechanics concepts | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8221516 | |
| subject keywords | asynchronous generators | |
| subject keywords | n fault diagnosis | |
| subject keywords | n learning (artificial intelligence) | |
| subject keywords | n optimisation | |
| subject keywords | n pattern classification | |
| subject keywords | n power engineering computing | |
| subject keywords | n wind turbines | |
| subject keywords | n DFIG | |
| subject keywords | n IWO algorithm | |
| subject keywords | n NWAO | |
| subject keywords | n base classifiers | |
| subject keywords | n doubly-fed induction generator | |
| subject keywords | n ensemble design | |
| subject keywords | n fault class optimal detection | |
| subject keywords | n fault diagnosis | |
| subject keywords | n incremental learning | |
| subject keywords | n invasive weed optimization method | |
| subject keywords | n multiclassifier diagnostic system | |
| subject keywords | n new class false alarm rate | |
| subject keywords | n ne | |
| identifier doi | 10.1109/IJCNN.2014.6889887 | |
| journal title | eural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on | |
| filesize | 294092 | |
| citations | 0 |