Paper Abstract and Keywords |
Presentation |
2020-06-18 10:25
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 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recurrent neural networks (RNNs) were demonstrated to provide good accuracy when modeling nonlinear circuits. However, since the training
algorithm of RNN needs the backpropogation through time(BPTT), this has a Vanishing gradient problem. Long-Short Term Memory (LSTM) which is a type of RNNs uses several gated units to avoid this probem. In this paper, LSTM is applied to estimate perodic behavior of Colpitts oscillator. The numerical approximated solutions of Colpitts oscillator ordinary differential equation using the LSTM neural network are discussed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
LSTM Neural Network / Colpitts Oscillator / Differential equations / Approximation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 65, CAS2020-2, pp. 7-9, June 2020. |
Paper # |
CAS2020-2 |
Date of Issue |
2020-06-11 (CAS, VLD, SIP, MSS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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CAS2020-2 VLD2020-2 SIP2020-18 MSS2020-2 |
Conference Information |
Committee |
MSS CAS SIP VLD |
Conference Date |
2020-06-18 - 2020-06-18 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
CAS |
Conference Code |
2020-06-MSS-CAS-SIP-VLD |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
On numerical approximated solutions of an ordinary differential\ equation using a LSTM neural network |
Sub Title (in English) |
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Keyword(1) |
LSTM Neural Network |
Keyword(2) |
Colpitts Oscillator |
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Differential equations |
Keyword(4) |
Approximation |
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1st Author's Name |
Kazuya Ozawa |
1st Author's Affiliation |
Shonan Institute of Technology (SIT) |
2nd Author's Name |
Kaito Isogai |
2nd Author's Affiliation |
Shonan Institute of Technology (SIT) |
3rd Author's Name |
Hideaki Okazaki |
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Shonan Institute of Technology (SIT) |
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Speaker |
Author-1 |
Date Time |
2020-06-18 10:25:00 |
Presentation Time |
25 minutes |
Registration for |
CAS |
Paper # |
CAS2020-2, VLD2020-2, SIP2020-18, MSS2020-2 |
Volume (vol) |
vol.120 |
Number (no) |
no.65(CAS), no.66(VLD), no.67(SIP), no.68(MSS) |
Page |
pp.7-9 |
#Pages |
3 |
Date of Issue |
2020-06-11 (CAS, VLD, SIP, MSS) |
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