Signal optimization of PSK modulated gold-sequences for narrow band transducers
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سال
: 2014شناسه الکترونیک: 10.1109/CoASE.2014.6899432
کلیدواژه(گان): feature selection,genetic algorithms,pattern clustering,production engineering computing,sorting,unsupervised learning,virtual machining,CNSGA,clustering nondominated sorting genetic algorithm,key feature selection approach,machining processes,multiobjective optimization approach,predictive accuracy,supervised optimization methods,unsupervised two-stage clustering procedure,virtual metrology system,wheel rims,Accuracy,Clustering methods,Data models,Hidden Markov models,Machi
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آمار بازدید
Signal optimization of PSK modulated gold-sequences for narrow band transducers
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| contributor author | Schroder, A. | |
| contributor author | Henning, B. | |
| date accessioned | 2020-03-12T21:16:36Z | |
| date available | 2020-03-12T21:16:36Z | |
| date issued | 2014 | |
| identifier other | 6932273.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1043173 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Signal optimization of PSK modulated gold-sequences for narrow band transducers | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8171113 | |
| subject keywords | feature selection | |
| subject keywords | genetic algorithms | |
| subject keywords | pattern clustering | |
| subject keywords | production engineering computing | |
| subject keywords | sorting | |
| subject keywords | unsupervised learning | |
| subject keywords | virtual machining | |
| subject keywords | CNSGA | |
| subject keywords | clustering nondominated sorting genetic algorithm | |
| subject keywords | key feature selection approach | |
| subject keywords | machining processes | |
| subject keywords | multiobjective optimization approach | |
| subject keywords | predictive accuracy | |
| subject keywords | supervised optimization methods | |
| subject keywords | unsupervised two-stage clustering procedure | |
| subject keywords | virtual metrology system | |
| subject keywords | wheel rims | |
| subject keywords | Accuracy | |
| subject keywords | Clustering methods | |
| subject keywords | Data models | |
| subject keywords | Hidden Markov models | |
| subject keywords | Machi | |
| identifier doi | 10.1109/CoASE.2014.6899432 | |
| journal title | ltrasonics Symposium (IUS), 2014 IEEE International | |
| filesize | 653836 | |
| citations | 0 |