Multivariate adaptive regression splines and neural network models for prediction of pile drivability

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

Piles are long, slender structural elements used to transfer the loads from the superstructure through weak strata onto stiffer soils or rocks. For driven piles, the impact of the piling hammer induces compression and tension stresses in the piles. Hence, an important design consideration is to chec...

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書目詳細資料
Main Authors:	Zhang, Wengang, Goh, Anthony Tech Chee
其他作者:	School of Civil and Environmental Engineering
格式:	Article
語言:	English
出版:	2016
主題:	Multivariate adaptive regression splines Pile drivability Computational efficiency Back propagation neural network Nonlinearity
在線閱讀:	https://hdl.handle.net/10356/82347 http://hdl.handle.net/10220/39982
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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