橋梁維持管理支援システム(J-BMS)の学習機能と実橋での効果確認
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- 宮本, 文穂
- 山口大学
書誌事項
- タイトル別名
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- Machine learning algorithm in J-BMS RC version and its effectiveness
- キョウリョウ イジ カンリ シエン システム J-BMS ノ ガクシュウ キノウ ト ジッキョウ デノ コウカ カクニン
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抄録
The Japanese Bridge Management System (J-BMS) RC version consists of the following three subsystems: (1) a bridge maintenance database system (J-BMS DB), (2) a concrete bridge rating expert system (RC-BREX) and (3) a maintenance plan optimization system (MPOS). Especially, in this paper, the RC-BREX system for deteriorating concrete bridges is described based on how to construct from a hierarchical neural network in order to carry out fuzzy inference and machine learning by using the neural network with the back-propagation method. Furthermore, the comparisons between diagnostic results by bridge experts and those of the proposed system are presented so as to demonstrate the validity of the system’s learning capability by using the training set for machine learning which obtained from inspection on actual in-service bridges and questionnaire surveys by bridge experts.
収録刊行物
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- 山口大学工学部研究報告
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山口大学工学部研究報告 73 (1), 1-9, 2022-12
山口大学工学部
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キーワード
詳細情報 詳細情報について
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- CRID
- 1050857777821054336
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- NII書誌ID
- AN00244228
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- ISSN
- 03727661
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB