A neuro-fuzzy computational approach to constructability knowledge acquisition for construction technology evaluation

Automation in Construction

Volumn 8, Issue 5, 1999, Pages 539-552

  Yu, Wen Der ^a   Skibniewski, Miroslaw J ^b  

^a CHUNG HUA UNIVERSITY   (Taiwan)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Constructability analysis; Construction technology evaluation; Neuro fuzzy learning systems

Indexed keywords

AUTOMATION; CONSTRUCTION; FUZZY SETS; GENETIC ALGORITHMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; NEURAL NETWORKS;

CONSTRUCTABILITY ANALYSIS; CONSTRUCTION TECHNOLOGY EVALUATION;

STRUCTURAL ANALYSIS;

EID: 0032625627     PISSN: 09265805     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0926-5805(98)00104-6     Document Type: Article

References (15)

1. A.S. Hanna, V.E. Sanvido, Interactive vertical formwork selection system, Concrete International 12 (4) (1990) 26-32.
2. A.S. Hanna, V.E. Sanvido, Interactive horizontal formwork selection system, Concrete International 13 (8) (1991) 50-56.
3. W.D. Yu, M.J. Skibniewski, Analyzing construction technology effectiveness with automated constructability review system (ACoRS), Proceedings of the 1st CSCE Construction Specialty Conference June 1-3 1995, Ottawa, Ontario, Canada, 1995, 673-682.
4. R.Y. Huang, A.M. Grigoriadis, D.W. Halpin, Simulation of cable-stayed bridges using DISCO, Proceedings of the 1994 Winter Simulation Conference, FL, USA, 1994, 1130-1136.
5. J. Shi, S.M. AbouRizk, A resource-based simulation approach with application in earthmoving/strip mining, Proceedings of the 1994 Winter Simulation Conference, 1994, 1124-1129.
6. L.C. Chao, M.J. Skibniewski, Estimating construction productivity: neural network-based approach, Journal of Comput, in Civil Engg., ASCE 8 (2) (1994) 234-251.
7. S. Karshenas, F. Xin, Application of neural networks in earthmoving equipment production estimating, Proceedings of the 8th Conference in Computing in Civil Engineering and Geographic Information Systems, ASCE, NY, USA, 1992, 841-847.
8. L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338-353.
9. HJ. Zimmermann, Fuzzy sets, decision making and expert systems, Kluwer Academic Publishers, Boston, MA, USA, 1987.
10. J.S. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Trans, on Systems, Man and Cybernetics 23 (3) (1993) 665-685.
11. L.X. Wang, J.M. Mendel, Fuzzy basis functions, universal approximation, and orthogonal least-squares learning, IEEE Transaction on Neural Networks 3 (5) (1992) 807-814.
12. C.T. Lin, C.S.G. Lee, Neural-network-based fuzzy logic control and decision system, IEEE Transactions on Computers 40 (12) (1991) 1320-1336.
13. W.D. Yu, A neuro-fuzzy knowledge-based multi-criterion decision model for constructability analysis and improvement of construction technologies, Ph.D. Thesis, School of Civil Engineering, Purdue University, West Lafayette, IN, USA, 1996.
14. T. Kohonen, Self-organization and associative memory, Springer-Verlag, Berlin, Germany, 1988.
15. K. Shimizu, F. Endo, On the use of precast concrete form for high-rise reinforced concrete structures, An article from Obayashi, Japan, 1992.