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Prediction of bearing capacity of thin-walled foundation: a simulation approach

In the recent past years, utilization of intelligent models for solving geotechnical problems has received considerable attention. This paper highlights the feasibility of adaptive neuro-fuzzy inference system (ANFIS) for predicting the bearing capacity of thin-walled foundations. For this reason, a...

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書誌詳細
主要な著者:	Momeni, Ehsan, Armaghani, Danial Jahed, Fatemi, Seyed Alireza, Nazir, Ramli
フォーマット:	論文
出版事項:	Springer London 2018
主題:	TA Engineering (General). Civil engineering (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/85655/ http://dx.doi.org/10.1007/s00366-017-0542-x
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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