Comparing nonlinear regression analysis and ‎artificial neural networks to predict geotechnical ‎parameters from standard penetration test

Comparing nonlinear regression analysis and ‎artificial neural networks to predict geotechnical ‎parameters from standard penetration test

At the beginning the twenty-first century, a lot of high-level methods have become ‎available in geotechnical engineering in order to deal with the complexity and ‎heterogeneity encountered in soil, Statistical modeling (i.e. regression analysis method) ‎was used to estimate the relationships among...

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Bibliographic Details
Main Authors: Mohammed Amin‎ Benbouras, Ratiba Mitiche Kettab, Hamma Zedira, Fatiha Debiche, Narimane Zaidi
Format: Article
Language:English
Published: NR&DI URBAN-INCERC 2018-09-01
Series:Urbanism. Arhitectura. Constructii
Subjects:
artificial neural network
regression analysis
standard penetration number and ‎geotechnical parameters
Online Access:http://uac.incd.ro/Art/v9n3a08.pdf

Internet

http://uac.incd.ro/Art/v9n3a08.pdf

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