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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
ICTSSL, CAS 2023-01-27
09:25		 Tokyo TBD
(Primary: On-site, Secondary: Online)		 On approximating chaotic behavior of a Colpitts circuit using residual nets and LSTM
Kazuya Ozawa, Hideaki Okazaki (Shonan Inst. Tech) CAS2022-76 ICTSSL2022-40		 LSTM (Long-Short Term Memory) is a neural network suitable for processing time series data. In this report, we apply LST... [more] CAS2022-76 ICTSSL2022-40
pp.77-82
CAS, ICTSSL 2021-01-28
09:15		 Online Online On differential equations of nonlinear NPN bipolar transistor for LSTM neural networks
Cheng Wang, Hong Mo Yong, Zhi Hui He, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst.Tech) CAS2020-37 ICTSSL2020-22		 In this report，we discuss how to build differential equations of
a nonlinear NPN bipolar transistor for Long
Short Te... [more]		 CAS2020-37 ICTSSL2020-22
pp.1-3
MSS, CAS, SIP, VLD 2020-06-18
10:25		 Online Online On numerical approximated solutions of an ordinary differential\ equation using a LSTM neural network
Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (SIT) CAS2020-2 VLD2020-2 SIP2020-18 MSS2020-2		 Recurrent neural networks (RNNs) were demonstrated to provide good accuracy when modeling nonlinear circuits. However, s... [more] CAS2020-2 VLD2020-2 SIP2020-18 MSS2020-2
pp.7-9
PRMU, BioX 2016-03-24
14:00		 Tokyo   Reconsideration on Text/Non-text Classification for Online Handwritten Ink Documents by BLSTM Neural Networks
Soichiro Inatani, Truyen Van Phan, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) BioX2015-52 PRMU2015-175		 This paper reports reconsideration on text/non-text classification in online handwritten documents by BLSTM neural netwo... [more] BioX2015-52 PRMU2015-175
pp.65-70
 Results 1 - 4 of 4  /   
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