| Presentation | 2018-08-27 Climate Forecasting by ConvLSTM on Segmented Region Ekasit Phermphoonphiphat, Tomohiko Tomita, Masayuki Numao, Ken-ichi Fukui, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recent years, climate forecasting techniques with machine learning have been developing to get high accuracy result. However, the forecasting area might contains local trends or specific characteristics of climate variables; therefore, training with only one model might not capture all of the local trends on entire area. Most researches on climate forecasting are focusing on just the small area such as country. Also spatial correlation needs to be considered to build forecasting model, the model that be able to maintain spatial correlation might have the better forecasting result. In this paper, we discussed availability of using segmented region to improve forecasting result and we compare non spatial correlation setup and spatial correlation model Convolutional Long-Short Term Memory (ConvLSTM). ConvLSTM be able to maintain spatial correlation with convolutional layer and maintain prior knowledge with forget-gate from LSTM. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Climate forecastingSpatial correlationConvLSTM |
| Paper # | AI2018-13 |
| Date of Issue | 2018-08-20 (AI) |
| Conference Information | |
| Committee | AI |
|---|---|
| Conference Date | 2018/8/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tsunenori Mine(Kyushu Univ.) |
| Vice Chair | Daisuke Katagami(Tokyo Polytechnic Univ.) / Naoki Fukuta(Shizuoka Univ.) |
| Secretary | Daisuke Katagami(Ritsumeikan Univ.) / Naoki Fukuta(Univ. of Electro-Comm.) |
| Assistant | Yuko Sakurai(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Climate Forecasting by ConvLSTM on Segmented Region |
| Sub Title (in English) | |
| Keyword(1) | Climate forecastingSpatial correlationConvLSTM |
| 1st Author's Name | Ekasit Phermphoonphiphat |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Tomohiko Tomita |
| 2nd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 3rd Author's Name | Masayuki Numao |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| 4th Author's Name | Ken-ichi Fukui |
| 4th Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2018-08-27 |
| Paper # | AI2018-13 |
| Volume (vol) | vol.118 |
| Number (no) | AI-197 |
| Page | pp.pp.1-6(AI), |
| #Pages | 6 |
| Date of Issue | 2018-08-20 (AI) |