Parallel parametric design optimization for RF amplifiers with 3D EM-PIC
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: 2014DOI: 10.1109/FUZZ-IEEE.2014.6891768
Keyword(s): fuzzy set theory,n pattern clustering,n possibility theory,n regression analysis,n PCRM clustering algorithm,n T-S fuzzy affine linear modeling algorithm,n Takagi-Sugeno fuzzy affine linear modeling algorithm,n hyper-plane-shaped clusters,n input-output data,n possibilistic c-regression model clustering algorithm,n Clustering algorithms,n Conferences,n Data models,n Fuzzy systems,n Nonlinear systems,n Partitioning algorithms,n Takagi-Sugeno model
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Parallel parametric design optimization for RF amplifiers with 3D EM-PIC
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| contributor author | Stantchev, G.M. | |
| contributor author | Cooke, S.J. | |
| contributor author | Antonsen, T.M. | |
| date accessioned | 2020-03-12T22:30:24Z | |
| date available | 2020-03-12T22:30:24Z | |
| date issued | 2014 | |
| identifier other | 7012679.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1085337?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Parallel parametric design optimization for RF amplifiers with 3D EM-PIC | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8222773 | |
| subject keywords | fuzzy set theory | |
| subject keywords | n pattern clustering | |
| subject keywords | n possibility theory | |
| subject keywords | n regression analysis | |
| subject keywords | n PCRM clustering algorithm | |
| subject keywords | n T-S fuzzy affine linear modeling algorithm | |
| subject keywords | n Takagi-Sugeno fuzzy affine linear modeling algorithm | |
| subject keywords | n hyper-plane-shaped clusters | |
| subject keywords | n input-output data | |
| subject keywords | n possibilistic c-regression model clustering algorithm | |
| subject keywords | n Clustering algorithms | |
| subject keywords | n Conferences | |
| subject keywords | n Data models | |
| subject keywords | n Fuzzy systems | |
| subject keywords | n Nonlinear systems | |
| subject keywords | n Partitioning algorithms | |
| subject keywords | n Takagi-Sugeno model | |
| identifier doi | 10.1109/FUZZ-IEEE.2014.6891768 | |
| journal title | lasma Sciences (ICOPS) held with 2014 IEEE International Conference on High-Power Particle Beams (BE | |
| filesize | 162173 | |
| citations | 0 |