A Study of the Purse Wire Tension Working on a 135 GT Purse Seiner during a Fishing Operation
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- HAMAGUCHI Masato
- National Fisheries University
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- KIMURA Nobuo
- Faculty of Fisheries, Hokkaido University
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- HOKIMOTO Tsukasa
- Faculty of Fisheries, Hokkaido University
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- KAWASAKI Junji
- National Fisheries University
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- AMAGAI Kiyoshi
- Faculty of Fisheries, Hokkaido University
Bibliographic Information
- Other Title
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- まき網漁船の操業時における鐶締めワイヤー張力に関する研究
- A Study of the Purse Wire Tension Working on a 135 GT Purse Seiner during a Fishing Operation--Estimate of Tension Working on the Wire using a Neural Network Model
- Study of the Purse Wire Tension Working on a 135 GT Purse Seiner during a Fishing Operation Estimate of Tension Working on the Wire using a Neural Network Model
- ニューラルネットワークモデルによるワイヤー張力の推定
- Estimate of Tension Working on the Wire using a Neural Network Model
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Abstract
As the first step in the dynamic control of the purse wire tension for a 135 GT purse seiner during a fishing operation, the effectiveness of a Neural Network model to estimate the wire tension is described based on the postulation that the output shows a nonlinear response to the input during the final step of the pursing work, j.e., the sinker edge of the net cup being almost closed, which corresponds to the step of the largest purse wire tension in other words, the largest heel of the seiner. Based on the results measured from a test model in a tank (with zero winding up speed of wire), estimates with a satisfactory level of accuracy can be obtained for the purse wire tension under a compound wave, in spite of the estimation difficulty using a linear model. This result demonstrates the effectiveness of the Neural Network model to the nonlinear response system of tension between the purse wire and purse seiner in heavy beam seas.
Journal
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- Journal of Fisheries Engineering
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Journal of Fisheries Engineering 36 (3), 243-248, 2000
The Japanese Society of Fisheries Engineering
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Details 詳細情報について
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- CRID
- 1390845712966867200
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- NII Article ID
- 10008273619
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- NII Book ID
- AN10278554
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- ISSN
- 21897131
- 09167617
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- NDL BIB ID
- 5310097
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- Text Lang
- en
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed