頁籤選單縮合
題 名 | Application of Neural Network for Selection of Airport Rigid Pavement Maintenance Strategies |
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作 者 | Huang, Shu-meng; Hsu, Chun-jung; Lee, Chau; Chang, Chung-chen; | 書刊名 | Journal of Marine Science and Technology |
卷 期 | 13:2 民94.06 |
頁 次 | 頁125-132 |
分類號 | 557.9 |
關鍵詞 | Rigid pavement; Neural network; Machine learning; |
語 文 | 英文(English) |
英文摘要 | ABSTRACT Maintenance strategy selection has been an important link within the management system for airport rigid pavement. Suitable maintenance strategies will guarantee maintenance success. The maintenance personnel investigating pavement distress usually base their maintenance strategy suggestions on expert knowledge and experience. Nevertheless, in practical situations we often see examples of distress taking place following maintenance, which indicates that the maintenance strategies previously selected can not effectively repair the pavement. Other methods and materials have to be adopted for maintenance so as to ensure pavement performance. This paper uses the machine learning theory of the neural network, conducting a questionnaire survey on experts to accumulate knowledge by way of case learning and inferring. This is aimed at enhancing capability of selecting more appropriate strategies for repair of pavement distress, thus to ensure pavement service performance. Furthermore, this paper suggests that feed-back and learning capabilities of maintenance materials be established, allowing the system to learn continuously, ensuring applicability of maintenance materials as well as upgrading maintenance effects. |
本系統中英文摘要資訊取自各篇刊載內容。