Simulation of saddle coil and helical winding magnetic field perturbation in the IR-T1 tokamak
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: 2014شناسه الکترونیک: 10.1109/FUZZ-IEEE.2014.6891567
کلیدواژه(گان): 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 | http://libsearch.um.ac.ir:80/fum/handle/fum/1085126 | |
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 |