Effects of Significant Variables on Compressive Strength of Soil-Fly Ash Geopolymer: Variable Analytical Approach Based on Neural Networks and Genetic Programming-Reference-Cited by-同舟云学术

Effects of Significant Variables on Compressive Strength of Soil-Fly Ash Geopolymer: Variable Analytical Approach Based on Neural Networks and Genetic Programming

Published:2018-07 Issue:7 Volume:30 Page:04018129
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Leong Hsiao Yun¹,Ong Dominic Ek Leong²,Sanjayan Jay G.³,Nazari Ali⁴,Kueh Sze Miang⁵

Affiliation:

1. Ph.D. Scholar, Faculty of Engineering, Science and Computing, Research Centre for Sustainable Technologies, Swinburne Univ. of Technology Sarawak Campus, 93350 Kuching, Sarawak, Malaysia.

2. Senior Lecturer, Griffith Univ., 170 Kessels Rd., Nathan, QLD 4111, Australia; Adjunct Associate Professor, Research Centre for Sustainable Technologies, Swinburne Univ. of Technology Sarawak Campus, 93350 Kuching, Sarawak, Malaysia (corresponding author).

3. Professor, Faculty of Science, Engineering and Technology, Centre for Sustainable Infrastructure, Swinburne Univ. of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia.

4. ARC Future Fellowship, Faculty of Science, Engineering and Technology, Centre for Sustainable Infrastructure, Swinburne Univ. of Technology, P.O. Box 218, Hawthorn, Victoria 3122, Australia.

5. Ph.D. Graduate, Faculty of Engineering, Science and Computing, Research Centre for Sustainable Technologies, Swinburne Univ. of Technology Sarawak Campus, 93350 Kuching, Sarawak, Malaysia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29MT.1943-5533.0002246

Reference54 articles.

1. Genetic Algorithms and Genetic Programming

2. Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming

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