Paper Abstract and Keywords |
Presentation |
2021-01-28 09:55
On differential equations and numerical approximations of a nonlinear field effect transistor for LSTM neural networks Zhihui He, Cheng Wang, Moyong Hong, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-39 ICTSSL2020-24 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this report,we discuss how to build differential equations and numerical approximations of a nonlinear field effect transistor for Long Short Term Memory (LSTM) neural networks.Secondly,we describe differential equations of a nonlinear field effect transistor.Thirdly,we obtain numerical solutions of the nonlinear field effect transistor dynamics. Finally,we summarize the concluding remarks and the future. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Approximation method / Differential equations / Field effect transistor circuit / LSTM Neural Network / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 346, CAS2020-39, pp. 7-10, Jan. 2021. |
Paper # |
CAS2020-39 |
Date of Issue |
2021-01-21 (CAS, ICTSSL) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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CAS2020-39 ICTSSL2020-24 |