Artificial neural network for measuring organizational effectiveness

Journal of Computing in Civil Engineering

Volumn 14, Issue 1, 2000, Pages 9-14

  Sinha, Sunil K ^a   McKim, Robert A ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CONSTRUCTION; MULTILAYER NEURAL NETWORKS; STATISTICAL METHODS; STRUCTURAL ANALYSIS;

BACK-PROPAGATION NEURAL NETWORK;

CIVIL ENGINEERING;

EID: 0033707556     PISSN: 08873801     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0887-3801(2000)14:1(9)     Document Type: Article

References (18)

1. Adas, A. A. (1996). "The level of organizational effectiveness of the construction firm: A multivariate model-based prediction methodology," PhD thesis, University of Waterloo, Waterloo, Ont., Canada.
2. Adeli, H., and Hung, S. L. (1994). "An adaptive conjugate gradient learning algorithm for efficient training of neural networks." Appl. Math., 62(1), 81-102.
3. Adeli, H., and Wu, M. (1998). "Regularization neural network for construction cost estimation." J. Constr. Engrg. and Mgmt., ASCE, 124(1), 18-23.
4. Flood, I., and Kartam, N. (1994). "Neural networks in civil engineering. II: Systems and application." J. Comp. in Civ. Engrg., ASCE, 8(2), 149-165.
5. Furnham, A., and Gunter, B. (1993). Corporate assessment: Auditing a company's personality. Routledge, London.
6. Haykin, S. (1994). Neural networks: A comprehensive foundation. Macmillan, New York.
7. Hitt, A. M. (1988). "The measuring of organizational effectiveness: Multiple domains and constituencies." J. Mgmt. in Rev., 28, 28-39.
8. Kaiser, H. F. (1960). "The application of electronic computers to factor analysis." J. Educational and Psychological Measurement, 20, 141-151.
9. Karunanithi, N., Grenney, W. J., Whitley, D., and Bove, K. (1994). "Neural networks for river flow prediction." J. Comp. in Civ. Engrg., ASCE, 8(2), 201-220.
10. Maloney, W. F., and Federle, M. O. (1993). "Practical models for organizational assessment." J. Mgmt. in Engrg., ASCE, 9(1), 64-81.
11. Miller, D., and Friesen, H. P. (1984). Organizations: A quantum view. Prentice-Hall, Englewood Cliffs, N.J.
12. Moselhi, O., Hegazy, T., and Fazio, P. (1991). "Neural networks as tools in construction." J. Constr. Engrg. and Mgmt., ASCE, 117(4), 606-625.
13. Nadler, D. A., Gerstien, M. S., and Shaw, R. B. (1992). Organizational architecture: Designs for changing organizations. Jossey-Bass Publishers, San Francisco.
14. Quinn, R. E., and Rohorbaugh, J. (1983). "A spatial model of effectiveness: Criteria towards a competing values approach." J. Mgmt. Sci., 29, 363-377.
15. Robbins, P. S. (1990). Organization theory: Structure, design, and applications. Prentice-Hall, Englewood Cliffs, N.J.
16. Robel, A. (1994). "Dynamic pattern selection: Effectively training back-propagation neural networks." Proc., Int. Conf. on Artificial Neural Networks, Vol. 1, Springer, New York, 643-646.
17. Sinha, S. K., and McKim, R. A. (1997). "Forecasting construction cost escalation using artificial neural networks." Proc., IEEE Artificial Neural Network in Engrg. Conf., Vol. 1, 829-836.
18. Skapura, D. M. (1996). Building neural networks. Addison-Wesley, New York.