PMID- 32878228
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201029
IS  - 2072-666X (Print)
IS  - 2072-666X (Electronic)
IS  - 2072-666X (Linking)
VI  - 11
IP  - 9
DP  - 2020 Aug 31
TI  - A Time Delay Neural Network Based Technique for Nonlinear Microwave Device 
      Modeling.
LID - 10.3390/mi11090831 [doi]
LID - 831
AB  - This paper presents a nonlinear microwave device modeling technique that is based 
      on time delay neural network (TDNN). The proposed technique can accurately model 
      the nonlinear microwave devices when compared to static neural network modeling 
      method. A new formulation is developed to allow for the proposed TDNN model to be 
      trained with DC, small-signal, and large signal data, which can enhance the 
      generalization of the device model. An algorithm is formulated to train the 
      proposed TDNN model efficiently. This proposed technique is verified by GaAs 
      metal-semiconductor-field-effect transistor (MESFET), and GaAs high-electron 
      mobility transistor (HEMT) examples. These two examples demonstrate that the 
      proposed TDNN is an efficient and valid approach for modeling various types of 
      nonlinear microwave devices.
FAU - Liu, Wenyuan
AU  - Liu W
AD  - School of Electronic Information and Artificial Intelligence, Shaanxi University 
      of Science and Technology, Xi'an 710021, China.
FAU - Zhu, Lin
AU  - Zhu L
AD  - School of Control and Mechanical Engineering, Tianjin Chengjian University, 
      Tianjin 300384, China.
FAU - Feng, Feng
AU  - Feng F
AD  - Department of Electronics, Carleton University, Ottawa, ON K1S 5B6, Canada.
FAU - Zhang, Wei
AU  - Zhang W
AD  - Department of Electronics, Carleton University, Ottawa, ON K1S 5B6, Canada.
FAU - Zhang, Qi-Jun
AU  - Zhang QJ
AD  - Department of Electronics, Carleton University, Ottawa, ON K1S 5B6, Canada.
FAU - Lin, Qian
AU  - Lin Q
AD  - College of Physics and Electronic Information Engineer, Qinghai University for 
      Nationalities, Xining 810007, China.
FAU - Liu, Gaohua
AU  - Liu G
AD  - School of Electronics and Information Engineering, Tianjin University, Tianjin 
      300072, China.
LA  - eng
GR  - Grant no. 18JCQNJC00900/National Natural Science Foundation of Tianjin/
GR  - Grant no. 2020JQ-732/Natural Science Basic Research Plan of Shaanxi Province/
GR  - Grant no. 61601323/National Natural Science Foundation of China/
GR  - Grant no.61841110/National Natural Science Foundation of China/
GR  - Grant no. 2017KJ088/Scientific Research Project of Tianjin Education Commission/
GR  - Grant no. 2017-ZJ-753/Applied Basic Research Plan of Qinghai/
PT  - Journal Article
DEP - 20200831
PL  - Switzerland
TA  - Micromachines (Basel)
JT  - Micromachines
JID - 101640903
PMC - PMC7570322
OTO - NOTNLM
OT  - neural networks
OT  - nonlinear device modeling
OT  - optimization methods
COIS- The authors declare no conflict of interest.
EDAT- 2020/09/04 06:00
MHDA- 2020/09/04 06:01
PMCR- 2020/08/31
CRDT- 2020/09/04 06:00
PHST- 2020/07/15 00:00 [received]
PHST- 2020/08/23 00:00 [revised]
PHST- 2020/08/28 00:00 [accepted]
PHST- 2020/09/04 06:00 [entrez]
PHST- 2020/09/04 06:00 [pubmed]
PHST- 2020/09/04 06:01 [medline]
PHST- 2020/08/31 00:00 [pmc-release]
AID - mi11090831 [pii]
AID - micromachines-11-00831 [pii]
AID - 10.3390/mi11090831 [doi]
PST - epublish
SO  - Micromachines (Basel). 2020 Aug 31;11(9):831. doi: 10.3390/mi11090831.