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| Presentation | 2016-07-16 14:00 Studies on inference system of deep body temperature by using machine learning methods Hirofumi Miyajima, Wataru Tarumi, Hirokazu Doi, Toru Kobayashi, Kazuyuki Shinohara (Nagasaki Univ.)  LOIS2016-18 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | It is important to know the information of deep body temperature, but difficult to measure it. There are some systems to estimate the deep body temperature, but they cannot be used in some cases. In this paper, we propose two inference systems of deep body temperature. One inference system consists of three layered neural network and the other consists of fuzzy inference system. It is known that neural network and fuzzy inference system can be used in many cases. We compare these methods by using two simulations. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | deep body temperature / machine learning / neural network / fuzzy inference system / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 116, no. 138, LOIS2016-18, pp. 57-62, July 2016. | |
| Paper # | LOIS2016-18 | |
| Date of Issue | 2016-07-08 (LOIS) | |
| ISSN | Print edition: ISSN 0913-5685 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) | |
| Download PDF | LOIS2016-18 |
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| Conference Information | |
| Committee | LOIS IPSJ-DC |
| Conference Date | 2016-07-15 - 2016-07-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima RCC Culture Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | LOIS |
| Conference Code | 2016-07-LOIS-DC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Studies on inference system of deep body temperature by using machine learning methods |
| Sub Title (in English) | |
| Keyword(1) | deep body temperature |
| Keyword(2) | machine learning |
| Keyword(3) | neural network |
| Keyword(4) | fuzzy inference system |
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| 1st Author's Name | Hirofumi Miyajima |
| 1st Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
| 2nd Author's Name | Wataru Tarumi |
| 2nd Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
| 3rd Author's Name | Hirokazu Doi |
| 3rd Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
| 4th Author's Name | Toru Kobayashi |
| 4th Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
| 5th Author's Name | Kazuyuki Shinohara |
| 5th Author's Affiliation | Nagasaki University (Nagasaki Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-07-16 14:00:00 |
| Presentation Time | 30 minutes |
| Registration for | LOIS |
| Paper # | LOIS2016-18 |
| Volume (vol) | vol.116 |
| Number (no) | no.138 |
| Page | pp.57-62 |
| #Pages | 6 |
| Date of Issue | 2016-07-08 (LOIS) |
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