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...
Saved in:
Main Author: | |
---|---|
Format: | Final Year Project Report |
Language: | English English |
Published: |
Universiti Malaysia Sarawak, UNIMAS
2010
|
Subjects: | |
Online Access: | 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 http://ir.unimas.my/id/eprint/7678/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Sarawak |
Language: | English English |
Be the first to leave a comment!