Genetic-Fuzzy Approach for Modeling Complex Systems with an Example Application in Masonry Bond Strength Prediction-Reference-Cited by-同舟云学术

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Genetic-Fuzzy Approach for Modeling Complex Systems with an Example Application in Masonry Bond Strength Prediction

Published:2009-05 Issue:3 Volume:23 Page:193-199
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Harp Dylan R.¹²³,Taha Mahmoud Reda¹²³,Ross Timothy J.¹²³

Affiliation:

1. Ph.D. Student, Dept. of Civil Engineering, Univ. of New Mexico, MSC01 1070, Albuquerque, NM 87131.

2. Associate Professor and Regents’ Lecturer, Dept. of Civil Engineering, Univ. of New Mexico, MSC01 1070, Albuquerque, NM 87131.

3. Professor and Regents’ Lecturer, Dept. of Civil Engineering, Univ. of New Mexico, MSC01 1070, Albuquerque, NM 87131.

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%282009%2923%3A3%28193%29

Reference16 articles.

1. ASTM. (1994). “Standard specifications for standard test method for measurement of masonry flexural bond strength.” C1072-94 Philadelphia.

2. Castro P. A. and Camargo H. A. (2004). “Learning and optimization of fuzzy rule base by means of self-adaptive genetic algorithm.” Proc. IEEE Int. Conf. on Fuzzy Systems Vol. 2 Budapest Hungary 1037–1042.

3. Ten years of genetic fuzzy systems: current framework and new trends

4. An evaporation estimation model using optimized fuzzy learning from example algorithm with an application to the riparian zone of the Middle Rio Grande in New Mexico, U.S.A.

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