Hybrid use of AI techniques in developing construction management tools

Automation in Construction

Volumn 12, Issue 3, 2003, Pages 271-281

  Ko, Chien Ho ^a   Cheng, Min Yuan ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

EFNIM; EFNIS; Fuzzy logic; Genetic algorithms; Neural networks; Object oriented system development

Indexed keywords

COMPUTER SIMULATION; DECISION MAKING; DECISION SUPPORT SYSTEMS; FUZZY SETS; GENETIC ALGORITHMS; NEURAL NETWORKS; PROBLEM SOLVING; PROJECT MANAGEMENT;

CONSTRUCTION MANAGEMENT;

CONSTRUCTION INDUSTRY;

EID: 0037408567     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0926-5805(02)00091-2     Document Type: Article

References (26)

1. Bush V.G. Construction Management: A Handbook for Contractors, Architects, and Students. 1973;1-6 Reston, Reston.
2. Li H. Case-based reasoning for intelligent support of construction negotiation. Information and Management. 30(5):1996;231-238.
3. Mareels I., Polderman J.W. Adaptive Systems: An Introduction. 1996;1-3 Birkhauser, Boston.
4. Haykin S. Neural Networks: A Comprehensive Foundation. 1999;Prentice-Hall, New York.
5. Tommelein I.D., Levitt R.E., Hayes-Roth B. Site-layout modeling: how can artificial intelligence help? Journal of Construction Engineering and Management, ASCE. 118(3):1992;594-611.
6. Martin N.M., Jain L.C. Introduction to neural networks, fuzzy systems, genetic algorithms, and their fusion. Jain L.C., Martain N.M. Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications. 1999;3-12 CRC Press, Boca Raton.
7. Linkens D.A., Nyongesa H.O. Learning systems in intelligent control: an appraisal of fuzzy, neural and genetic algorithm control applications. IEE Proceedings. Control Theory and Applications. 143(4):1996;367-386.
8. Gorzalczany M.B., Gradzki P. A neuro-fuzzy-genetic classifier for technical applications. Proceedings of IEEE International Conference on Industrial Technology. 1:2000;503-508.
9. Ghezelayagh H., Lee K.Y. Training neuro-fuzzy boiler identifier with genetic algorithm and error back-propagation. IEEE Power Engineering Society, Summer Meeting. 2:1999;978-982.
10. Jagielska I., Matthews C., Whitfort T. An investigation into the application of neural networks, fuzzy logic, genetic algorithms, and rough sets to automated knowledge acquisition for classification problems. Neurocomputing. 24:1999;37-54.
11. Liska J., Melsheimer S.S. Complete design of fuzzy logic systems using genetic algorithms. Proceedings of the Third IEEE Conference on Fuzzy Systems. 2:1994;1377-1382.
12. Ishigami H., Fukuda T., Shibata T., Arai F. Structure optimization of fuzzy neural network by genetic algorithm. Fuzzy Sets and Systems. 71(3):1995;257-264.
13. Qin K., Wang W., Gong M. A genetic algorithm for the minimum weight triangulation. IEEE International Conference on Evolutionary Computation. 1997;541-546.
14. Zadeh L.A. Fuzzy sets. Information and Control. 8(3):1965;338-353.
15. Maier H.R., Sayed T., Lence B.J. Forecasting cyanobacterial concentrations using b-spline networks. Journal of Computing in Civil Engineering, ASCE. 14(3):2000;183-189.
16. Liatsis P., Goulermas Y.J.P. Minimal optimal topologies for invariant higher-order neural architectures using genetic algorithms. Proceedings of the IEEE International Symposium on Industrial Electronics. 2:1995;792-797.
17. Holland J.H. Adaptation in Neural and Artificial Systems. 1975;The University of Michigan Press, Ann Arbor.
18. Gen M., Cheng R. Genetic Algorithms and Engineering Design. 1997;Wiley, New York.
19. Michalewicz Z. Genetic Algorithms+Data Structures=Evolution Programs. 1996;Springer-Verlag, Berlin.
20. Booch G. Object Oriented Design with Applications. 1991;Benjamin, Redwood City.
21. Satzinger J.W., Jackson R.B., Burd S.D. System Analysis and Design in a Changing World. 2000;67-75 Course Technology, Cambridge.
22. Hayashi I., Umano M., Maeda T., Bastian A., Jain L.C. Acquisition of fuzzy knowledge by NN and GA. IEEE International Conference on Knowledge-Based Intelligent Electronic Systems. 1998;69-78.
23. Lorterapong P., Moselhi O. Project-network analysis using fuzzy sets theory. Journal of Construction Engineering and Management, ASCE. 122(4):1996;308-318.
24. Minsky M., Papert S. Perceptrons: An Introduction to Computational Geometry. 1969;MIT Press, Cambridge.
25. T.K. Wu, Performance Evaluation and Prediction Model for Construction Subcontractor, Master thesis, Department of Construction Engineering, National Taiwan University of Science and Technology, 2001, in Chinese.
26. Yang J.B., Yau N.J. Integrating case-based reasoning and expert system techniques for solving experience-oriented problems. Journal of the Chinese Institute of Engineers. 23(1):2000;83-95.