| Presentation | 2016-07-16 Studies on inference system of deep body temperature by using machine learning methods Hirofumi Miyajima, Wataru Tarumi, Hirokazu Doi, Toru Kobayashi, Kazuyuki Shinohara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | deep body temperature / machine learning / neural network / fuzzy inference system |
| Paper # | LOIS2016-18 |
| Date of Issue | 2016-07-08 (LOIS) |
| Conference Information | |
| Committee | LOIS / IPSJ-DC |
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| Conference Date | 2016/7/15(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hiroshima RCC Culture Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroyuki Nishi(Sojo Univ.) / Chieko Nakabasami(Toyo University) |
| Vice Chair | Tomohiro Yamada(NTT) |
| Secretary | Tomohiro Yamada(NTT) / (Nagasaki Univ.) |
| Assistant | Yukihiro Nakamura(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Document Communication |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2016-07-16 |
| Paper # | LOIS2016-18 |
| Volume (vol) | vol.116 |
| Number (no) | LOIS-138 |
| Page | pp.pp.57-62(LOIS), |
| #Pages | 6 |
| Date of Issue | 2016-07-08 (LOIS) |