A novel 4-D artificial-neural-network-based hybrid large-signal model of GaAs pHEMTs
dc.contributor.author | Long, Yunshen | |
dc.contributor.author | Zhong, Zheng | |
dc.contributor.author | Yong-Xin, Guo | |
dc.date.accessioned | 2019-01-10T08:39:35Z | |
dc.date.available | 2019-01-10T08:39:35Z | |
dc.date.issued | 2016-06 | |
dc.description | p.1752 - 1762 | en_US |
dc.identifier.issn | 00189480 | |
dc.identifier.uri | http://hdl.handle.net/123456789/6838 | |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | in:IEEE Transactions on Microwave theory and Techniques, Vol.64, n°6(Juin 2016); | |
dc.subject | Transistors de puissance | en_US |
dc.subject | Amplificateurs | en_US |
dc.subject | Puissance CIMC | en_US |
dc.subject | Circuits intégrés | en_US |
dc.title | A novel 4-D artificial-neural-network-based hybrid large-signal model of GaAs pHEMTs | en_US |
dc.type | Article | en_US |