Simulation of saddle coil and helical winding magnetic field perturbation in the IR-T1 tokamak
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: 2014DOI: 10.1109/FUZZ-IEEE.2014.6891567
Keyword(s): data analysis,n fuzzy set theory,n fuzzy systems,n optimisation,n regression analysis,n ADMM,n FCRM,n T-S fuzzy systems identification,n alternating direction method of multipliers based algorithm,n block structured information,n block structured sparse representation,n fuzzy partition method,n fuzzy rules,n hyper-plane prototypes,n nonzero parameters,n optimization problem,n sparse fuzzy c-regression models,n Data models,n Fuzzy systems
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Simulation of saddle coil and helical winding magnetic field perturbation in the IR-T1 tokamak
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| contributor author | Adltalab, Y. | |
| contributor author | Khorshid, P. | |
| contributor author | Moghaddam, E.A. | |
| date accessioned | 2020-03-12T22:30:02Z | |
| date available | 2020-03-12T22:30:02Z | |
| date issued | 2014 | |
| identifier other | 7012478.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1085126?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Simulation of saddle coil and helical winding magnetic field perturbation in the IR-T1 tokamak | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8222501 | |
| subject keywords | data analysis | |
| subject keywords | n fuzzy set theory | |
| subject keywords | n fuzzy systems | |
| subject keywords | n optimisation | |
| subject keywords | n regression analysis | |
| subject keywords | n ADMM | |
| subject keywords | n FCRM | |
| subject keywords | n T-S fuzzy systems identification | |
| subject keywords | n alternating direction method of multipliers based algorithm | |
| subject keywords | n block structured information | |
| subject keywords | n block structured sparse representation | |
| subject keywords | n fuzzy partition method | |
| subject keywords | n fuzzy rules | |
| subject keywords | n hyper-plane prototypes | |
| subject keywords | n nonzero parameters | |
| subject keywords | n optimization problem | |
| subject keywords | n sparse fuzzy c-regression models | |
| subject keywords | n Data models | |
| subject keywords | n Fuzzy systems | |
| identifier doi | 10.1109/FUZZ-IEEE.2014.6891567 | |
| journal title | lasma Sciences (ICOPS) held with 2014 IEEE International Conference on High-Power Particle Beams (BE | |
| filesize | 499359 | |
| citations | 0 |