Prediction of Geotechnical Parameters Using Machine Learning Techniques

Author:

Puri Nitish,Prasad Harsh Deep,Jain Ashwani

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. “Neural networks for evaluating CPT calibration chamber test data”;Goh;International Journal of Microcomputers in Civil Engineering,1995

2. “Least-cost design of singly and doubly reinforced concrete beam using genetic algorithm optimized artificial neural network based on Levenberg–Marquardt and quasi-Newton backpropagation learning techniques”;Saini;Structural and Multidisciplinary Optimization,2007

3. “Prediction of compressive strength of self-compacting concrete containing bottom ash using artificial neural networks”;Siddique;Advances in Engineering Software,2011

4. .“M5 model tree for pier scour prediction using field dataset”;Pal;KSCE Journal of Civil Engineering,2012

5. N. Puri and A. Jain (2015).“Correlation between california bearing ratio and index properties of silt and clay of low compressibility”. Proc. Fifth Indian Young Geotechnical Engineers Conference, Vadodara.

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