Prediction of drained soil shear strength parameters of marine deposit from CPTu data using GMDH-type neural network
Author:
Affiliation:
1. Department of Civil Engineering, Amirkabir University of Technology, Tehran, Iran
2. Department of Civil Engineering, Gonbad University, Gonbad, Iran
Publisher
Informa UK Limited
Subject
Ocean Engineering,Geotechnical Engineering and Engineering Geology,Oceanography
Link
https://www.tandfonline.com/doi/pdf/10.1080/1064119X.2017.1415400
Reference39 articles.
1. Support vector regression-based model for prediction of behavior stone column parameters in soft clay under highway embankment
2. Soil compaction parameters prediction using GMDH-type neural network and genetic algorithm
3. Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms
4. Cone penetration testing in deltaic soils
5. Drained soil shear strength parameters from CPTu data for marine deposits by analytical model
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