Artificial fuzzy neural networks in civil engineering

Computers and Structures

Volumn 61, Issue 2, 1996, Pages 291-302

  Rajasekaran, S ^a   Febin, M F ^b   Ramasamy, J V ^a  

^a PSG COLLEGE OF TECHNOLOGY   (India)

^b Engineering Construction Corporation   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOUNDARY CONDITIONS; CIVIL ENGINEERING; FUZZY SETS; LEARNING ALGORITHMS; PROCESSING;

ARTIFICIAL FUZZY NEURAL NETWORKS; SHARP DETERMINISTIC BOUNDARIES;

NEURAL NETWORKS;

EID: 0030268766     PISSN: 00457949     EISSN: None     Source Type: Journal    
DOI: 10.1016/0045-7949(96)00044-2     Document Type: Article

References (33)

1. IEEE, Proc. IEEE Int. Conf. on Neural Networks, San Diego, CA, 21-24 June, Institution of Electrical and Electronic Engineers, New York (1987).
2. IEEE, Proc. IEEE Int. Conf. on Neural Networks, San Diego, CA, 24-27 July, Institution of Electrical and Electronic Engineers, New York (1988).
3. IJCNN, Proc. Int. Joint Conf. on Neural Networks. Sponsored by the Institution of Electrical and Electronic Engineers and the International Neural Network Society, Washington, DC, 18-22 June (1989).
4. IJCNN, Proc. Int. Joint Conf. on Neural Networks, Cosponsored by the Institution of Electrical and Electronic Engineers and the International Neural Network Society, Washington, DC, January (1990).
5. IJCNN, Proc. Int. Joint Conference on Neural Networks. Cosponsored by the Institution of Electrical and Electronic Engineers and International Neural Network Society, San Diego, CA, 17-21 June (1990).
6. L. A. Zadeh, Fuzzy sets. Info. Control 8, 338-353 (1965).
7. F. Rosenblatt, The perceptron: a probabilistic model for information storage and organization in the brain. Psychology Rev. 65, 386-408 (1950).
8. M. Minsky and S. Papert, Perceptrons. MIT Press, Cambridge, MA (1969).
9. D. E. Rumelhart, J. L. McClelland and the PDP Research Group, Parallel Distributed Processing, Vol. 1. MIT Press, Cambridge, MA (1986).
10. D. L. Reilly, L. N. Cooper and C. Elbawn, A neural model for category learning. Bio Cybernetics 45, 35-41 (1982).
11. S. D. Peter, P. Santhya and T. P. Shyne, Hand written character recognition - an experience. Comput. Sci. Informatics 21, 3-8 (1991).
12. A. K. Ray and R. B. Misra, A neural network based expert system tool for diagnostic problem solving. Comput. Sci. Informatics 21, 17-34 (1991).
13. X. J. Zhang and Y. T. P. Yao, Knowledge acquisition and machine learning in an expert system. In: Micro Computer Knowledge Based Expert System in Civil Engineering. ASCE (1988).
14. R. D. Vanluchene and Sun Rouffei, Neural networks in structural engineering. Micro Comput. Civ. Engng 5, 207-215 (1990).
15. Y. C. Yeh, Y. H. Kuo and D. H. Hsu, Buidling KBES for diagnostic PC pile with artificial neural network. J. Comput. Civ. Engng ASCE 7, 71-93 (1993).
16. J. Ghaboussi, J. H. Garret Jr and X. Wu, Material modeling with neural networks. NUMETA 90, Proc. Int. Conf. on Numerical Methods in Engineering: Theory and Applications, Swansea, January pp. 701-717 (1990).
17. J. Ghaboussi, J. M. Garret Jr and X. Wu, Knowledge based modeling of material behavior with neural networks. J. Engng Mech. ASCE 117, 132-153 (1991).
18. H. Ogawa, K. S. Fu and J. T. P. Yao, An inexact inference for damage assessment of existing structure. Int. J. Man-Mach. Studies 22, 295-306 (1985).
19. C. B. Brown, A fuzzy safety measure. J. Engng Mech. ASCE 105, 855-872 (1979).
20. G. Y. Wang, Two stage comprehensive evaluation of earth quake intensity and its application. Int. J. Earthquake Engng struct. Dyn. 13, 67-73 (1985).
21. S. Lin and X. Yang, A fuzzy model for load combinations in structural analysis. Comput. Struct. 30, 999-1007 (1988).
22. T. L. Muralidharan, Fuzzy behavior of beams on winkler foundation. J. Engng Mech. ASCE 117, 1953-1972 (1991).
23. M. Klinski, Plasticity theory based on fuzzy sets. J. Engng Mech. ASCE 114, 563-582 (1988).
24. S. Valliappan, T. D. Pham, V. Murti and J. Franklin, Fuzzy logic for automatic finite element mesh generation. Micro Comput. Civ. Engng 5, 207-215 (1993).
25. E. Tachibana, Y. Inoue and B. G. Creamer, Fuzzy theory for the active control of the dynamic response in buildings. Micro Comput. Civ. Engng 2, 179-189 (1992).
26. R. R. Yager, Modeling and formulating fuzzy knowledge base using neural network. Technical Report no. MIT-1111, Machine Intelligence Institute, Iona College (1991).
27. I. Hayashi, H. Nomura, H. Yamasaki and N. Wakami, Construction of fuzzy inference rules by NDF and NDFC. Int. J. Approx. Reasoning 6, 241-266 (1992).
28. S. C. Lee and E. T. Lee, Fuzzy neural networks. Matt. Bio Sci. 23, 151-177 (1975).
29. P. K. Simpson, Fuzzy min-max neural networks. In: Proc. IJCNN 1991, Singapore, Vol. 2, pp. 1658-1669 (1991).
30. K. Hirota and W. Pedrycz, Fuzzy logic neural networks. Design and computations. In: Proc. Int. JCNN-91, Singapore, Vol. 1, pp. 152-157 (1991).
31. H. Ishibuchi, R. Fujioka and H. Tanaka, Neural networks that learn from fuzzy if-then rules. IEEE Trans. Fuzzy Syst. 1, 85-97 (1993).
32. H. Ishibuchi, K. Kwon and H. Tanaka, Learning of fuzzy neural networks from fuzzy inputs and fuzzy targets. Fifth IFSA World Congress, Proc. Fuzzy Systems Association, Seoul, Korea, pp. 147-150 (1993).
33. H. Ishibuchi and H. Tanaka, An extension of the BP algorithm to interval input vectors. Learning from numerical data and expert knowledge. Proc. Int. JCNN-91, Singapore, Vol. 2, pp. 1588-1593 (1991).