Data Division for Developing Neural Networks Applied to Geotechnical Engineering-Reference-Cited by-同舟云学术

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Data Division for Developing Neural Networks Applied to Geotechnical Engineering

Published:2004-04 Issue:2 Volume:18 Page:105-114
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Shahin Mohamed A.¹,Maier Holger R.²,Jaksa Mark B.³

Affiliation:

1. Postdoctoral Research Associate, School of Civil and Environmental Engineering, Univ. of Adelaide, South Australia, 5005.

2. Senior Lecturer, School of Civil and Environmental Engineering, Univ. of Adelaide, South Australia, 5005.

3. Senior Lecturer, School of Civil and Environmental Engineering, Univ. of Adelaide, South Australia, 5005 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282004%2918%3A2%28105%29

Reference25 articles.

1. Artificial Neural Networks in Hydrology. I: Preliminary Concepts

2. Optimal division of data for neural network models in water resources applications

3. Feed-forward artificial neural network model for forecasting rainfall run-off

4. SETTLEMENT OF FOUNDATIONS ON SAND AND GRAVEL.

5. Neural networks primer. Part III.;Caudill M.;AI Expert,1988

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