Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil

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Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil

Soft soil due to high settlement when it subjected to certain stress, caused pore water pressure increase and finally reduced the volume of the soil mass. Therefore, many settlement prediction methods have focused on correlations with in-situ tests, such as the Cone Penetration Test (CPT), Standard...

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Bibliographic Details
Main Author:	Yong, Shirley Xiao Wei
Format:	Final Year Project Report / IMRAD
Language:	English English
Published:	Universiti Malaysia Sarawak, UNIMAS 2010
Subjects:	QC Physics TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/7678/ http://ir.unimas.my/id/eprint/7678/1/Artificial%20neural%20network%20%28ANN%29%20modeling%20%26%20validation%20to%20predict%20compression%20index%20of%20tropical%20soft%20soil%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/7678/8/Shirley%20%28full%20text%29.pdf

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