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- W2382606312 abstract "A fuzzy artificial neural networks is used to analyze and forecast seismic damage in multistory masonry buildings. Different types of structures will incur very different seismic damage, even in the same location. Thus, the seismic damage influence factors must include the structure type. Gray system method was used to select the major seismic damage influence factors. Local seismic damage history data used to train the artificial neural network was for multistory masonry buildings, which have been built in many locations in Yunnan, China. The results demonstrate the efficiency of the method." @default.
- W2382606312 created "2016-06-24" @default.
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- W2382606312 date "2002-01-01" @default.
- W2382606312 modified "2023-09-22" @default.
- W2382606312 title "Forecasting seismic damage in multistory masonry buildings with a neuro-fuzzy approach" @default.
- W2382606312 hasPublicationYear "2002" @default.
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