Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties-Reference-Cited by-同舟云学术

Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties

Published:2010-02 Issue:1 Volume:10 Page:1-12
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Zaman Musharraf¹²³⁴,Solanki Pranshoo¹²³⁴,Ebrahimi Ali¹²³⁴,White Luther¹²³⁴

Affiliation:

1. David Ross Boyd Professor, Aaron Alexander Professor, Associate Dean for Research, College of Engineering, Univ. of Oklahoma, 202 W. Boyd St., Rm. 107, Norman, OK 73019 (corresponding author).

2. Doctoral Candidate, School of Civil Engineering and Environmental Science, Univ. of Oklahoma, Norman, OK 73019.

3. President, Burgess Engineering and Testing, Inc., 2603 N. Shields Blvd., Moore, OK 73160.

4. Professor, Dept. of Mathematics, Univ. of Oklahoma, 601 Elm Ave., Norman, OK 73019.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291532-3641%282010%2910%3A1%281%29

Reference44 articles.

1. Bors A. G. (2001). “Introduction of the radial basis function (RBF) networks.” Online Symp. for Electronics Engineers DSP Algorithms: Multimedia ⟨http://www.osee.net/⟩ 1(1) 1–7.0002-7820

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