Neural Network Modeling of Confined Compressive Strength and Strain of Circular Concrete Columns-Reference-Cited by-同舟云学术

Neural Network Modeling of Confined Compressive Strength and Strain of Circular Concrete Columns

Published:2003-04 Issue:4 Volume:129 Page:554-561
ISSN:0733-9445
Container-title:Journal of Structural Engineering
language:en
Short-container-title:J. Struct. Eng.

Author:

Oreta Andres W. C.¹,Kawashima Kazuhiko²

Affiliation:

1. Associate Professor, Dept. of Civil Engineering, De La Salle Univ., 2401 Taft Ave., Manila 1004, Philippines.

2. Professor, Dept. of Civil Engineering, Tokyo Institute of Technology, 2-12-1 O-okayama, Meguro-ku, Tokyo 152, Japan.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9445%282003%29129%3A4%28554%29

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3. Common Misconceptions about Neural Networks as Approximators

4. Carpenter W. C. and Hoffman M. E. (1995). “Training backprop neural networks.” AI Expert March 30–33.

5. Dadios E. P. (1998). “Neural network application to pattern recognition.” 2nd Pacific Asia Conf. on Mechanical Engineering Technological Univ. of the Philippines Manila Philippines.

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