Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks-Reference-Cited by-同舟云学术

Modeling of maximum dry density and optimum moisture content of stabilized soil using artificial neural networks

Published:2010-06 Issue:3 Volume:173 Page:368-379
ISSN:1436-8730
Container-title:Journal of Plant Nutrition and Soil Science
language:en
Short-container-title:Z. Pflanzenernähr. Bodenk.

Author:

Hossein Alavi Amir¹,Hossein Gandomi Amir¹,Mollahassani Ali²,Akbar Heshmati Ali¹,Rashed Azadeh²

Affiliation:

1. College of Civil Engineering, Iran University of Science & Technology, Narmak, Tehran 16844, Iran

2. Department of Civil Engineering, Ferdowsi University of Mashad, Mashad, Khorasan, Iran

Publisher

Wiley

Subject

Plant Science,Soil Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.200800233

Reference47 articles.

1. General Regression Neural Networks for Driven Piles in Cohesionless Soils

2. The stabilization of some arid zone soils with cement and lime

3. Alavi A. H. Heshmati A. A. Salehzadeh H. Gandomi A. H. Askarinejad A.(2008): Soft computing based approaches for high performance concrete. Proc. 6thInternational Conference on Engineering Computational Technology Civil‐Comp Press Stirlingshire UK paper 86.

4. Engineering and environmental aspects of cutback asphalt (MC-70) stabilization of swelling and collapsible soils

5. Ausroads(1998): Guide to stabilization in roadworks. Ausroads Research Group Sydney Australia.

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