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- W4210350648 abstract "AbstractThe paper introduces the convenient and reliable method for the period estimate of wood buildings employing Artificial Neural Network (ANN) combined with Whale Optimization Algorithm (WOA). The algorithmic model developed using Feed Forward (FF) networks is based on the physical parameters of 47 light-frame wood buildings whose dynamic properties were measured using the ambient vibration testing method. The proposed model produces a better period estimate than the model available in the National Building Code of Canada (NBCC, 2015).KeywordsPeriod formulaWood buildingsWhale optimizationFeed forwardNeural network" @default.
- W4210350648 created "2022-02-08" @default.
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- W4210350648 date "2022-01-01" @default.
- W4210350648 modified "2023-10-18" @default.
- W4210350648 title "The Whale Optimization Algorithm Based ANN for Predicting the Fundamental Period of Light-Frame Wood Buildings" @default.
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- W4210350648 doi "https://doi.org/10.1007/978-3-030-94514-5_24" @default.
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