書誌事項
- タイトル別名
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- Estimation of fish distribution by means of neural network using monitoring data by fishing boats
- ギョセン モニタリングデータ オ モチイタ ニューラルネットワーク ニ ヨル ギョルイ ミツド ブンプ スイテイ
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抄録
<p>It is important to understand and predict fish behavior to assess the impacts of coastal development on ecosystem or to conduct appropriate fishery management. In order to collect information for understanding fish behavior, we measured the environmental factors and the distribution of fish simultaneously by using fishing boats. The memory-type sensors were attached to the fishing gear of the small trawling boats in Ise Bay, through which the water temperature, dissolved oxygen, and depth were measured as well as position information by GPS. At the same time, fish catch of each haul by trawling were recorded to grasp the fish distribution. The obtained data provides much more information for temporal and spatial distribution of water qualities than conventional monitoring. We tried to predict resource distributions by artificial neural network using the obtained data. It is found that the environmental factor affecting the behavior of conger eel varies with respect to the months. The developed neural network could predict the horizontal distribution of the conger eel fairly well.</p>
収録刊行物
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- 日本船舶海洋工学会論文集
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日本船舶海洋工学会論文集 29 (0), 117-122, 2019
公益社団法人 日本船舶海洋工学会
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詳細情報 詳細情報について
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- CRID
- 1390001277353409792
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- NII論文ID
- 130007711717
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- NII書誌ID
- AA12057769
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- ISSN
- 18811760
- 18803717
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- NDL書誌ID
- 029959169
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可