Work

Prediction of maximum dry density and optimum moisture content of stabilised soil using RBF neural networks

Year: 2009

Type: article

Source: The IES Journal Part A Civil & Structural Engineering

DOI: 10.1080/19373260802659226

Authors: A. H. Alavi, A. H. Gandomi, M. Gandomi, S. S. Sadat Hosseini

Institutions: Iran University of Science and Technology, Tafresh University, University of Tehran

Language: English

Topic: Geotechnical and construction materials studies

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2035972664

FWCI: 16.59

Cites: 16

Cited by: 69

Related to: 10