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Adaptive Nutrient Water Supply Control of Plant Factory System by Reinforcement Learning
http://hdl.handle.net/10445/8450
http://hdl.handle.net/10445/8450d2e5b3a6-1948-487b-9c7d-ce36853a82ca
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
2011-JACIII-Wakahara.pdf (2.4 MB)
Download is available from 2999/12/31.
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2017-03-24 | |||||
| タイトル | ||||||
| タイトル | Adaptive Nutrient Water Supply Control of Plant Factory System by Reinforcement Learning | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Wakahara, Takumi
× Wakahara, Takumi× 三上, 貞芳 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | An adaptive nutrient control method for a plant factory is proposed. The method is based on a Reinforcement Learning modified for a target in which one state never comes back during a single episode and a reward is given after a very long delay. In application such as plant growth control, one episode takes a very long time period, and a rapid convergence to a prospective control solution is essential, whilst an extensive exploration is needed since there is usually no precise model available. A method like Reinforcement Learning is useful for a problem having no reference model. But a necesity of exploration does not match the need for rapid convergence, and a new balancing method is needed. In this research, an avarage reward distribution method is proposed, which is similar to the Profit Sharing method but affects more extensively to find much prospective early solutions, whilst guaranteeing to converge into a rational solution in a long run. An experiment is conducted in a simple plant factory system, which shows that at least standard Reinforcement Learning is insufficient for this type of problem. Computer simulations show that the method has good effects comparing to a standard RL, and a profit sharing method. | |||||
| 内容記述 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | doi: 10.20965/jaciii.2011.p0831 | |||||
| 書誌情報 |
Journal of Advanced Computational Intelligence and Intelligent Informatics 巻 15, 号 7, p. 831-837, 発行日 2011-09 |
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| 査読有無 | ||||||
| 値 | あり/yes | |||||
| 研究業績種別 | ||||||
| 値 | 原著論文/Original Paper | |||||
| 単著共著 | ||||||
| 値 | 共著/joint | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.20965/jaciii.2011.p0831 | |||||
| 出版者 | ||||||
| 出版者 | Fuji Technology Press | |||||
