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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| Format: | Final Year Project Report / IMRAD |
| Language: | English English |
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Universiti Malaysia Sarawak, UNIMAS
2010
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| 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 |
Internet
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