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- W2390520274 abstract "A diagnosis system, which based on the visual inspection data and non-destructive testing and combined with expert diagnosis estimation results received from many bridges, is developed for bridge management by employing neural networks and fuzzy theory. The system is capable of making an overall evaluation to the bridge deterioration condition by using the quantity of inspection data. In this paper, the inspection data is introduced to the system to provide the bridge diagnosis process in detail. Examples are presented to demonstrate the validity and reliability of this system. The system already has been applied in some regions of China and Japan and has enhanced the efficiency of bridge management work." @default.
- W2390520274 created "2016-06-24" @default.
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- W2390520274 date "2005-01-01" @default.
- W2390520274 modified "2023-09-23" @default.
- W2390520274 title "Research on bridge diagnosis system with fuzzy-neural network" @default.
- W2390520274 hasPublicationYear "2005" @default.
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