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Paper ecce-1997-335:
A kbes combining cbr and rbr to select repalr and retftoflt methods for fatigue damage on steel bridges

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Shigenori Tanaka, Ichizou Mikami

A kbes combining cbr and rbr to select repalr and retftoflt methods for fatigue damage on steel bridges

Abstract: We have studied the knowledgebased expert system (KBES) to select repairing and retrofitting methods for fatigue damage of steel bridges. The case-based reasoning (CBR) system can solve the problem of howledge acquisition and perform efficient inference based on similar cases, w h e m the rulebased reasoning (RBR) system has the difficulty in acquiring knowledge bases. In the present paper, we constructed a KBES, in whicb CBR and RBR were combined, to select repairing and retrofitting methods for steel bridges‘ fatigue damage. The inference results obtained from this system are discussed to prove its usefulness, and subjects for the future are identified.

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