Simulation metamodeling through artificial neural networks

Engineering Applications of Artificial Intelligence

Volumn 16, Issue 3, 2003, Pages 177-183

  Fonseca, Daniel J ^a   Navaresse, Daniel O ^a   Moynihan, Gary P ^a  

^a The University of Alabama   (United States)

Author keywords

Artificial neural networks; Job shop sequencing; Metamodeling; Simulation

Indexed keywords

COMPUTER SIMULATION; COMPUTER SOFTWARE; DECISION MAKING; DECISION SUPPORT SYSTEMS;

METAMODELING;

NEURAL NETWORKS;

EID: 0042830730     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0952-1976(03)00043-5     Document Type: Article

References (18)

1. Askin R., Standridge C. Modeling and Analysis of Manufacturing Systems. 1993;Wiley, New York, NY.
2. Badiru A., Siege D. Neural network as a simulation metamodel in economic analysis of risky projects. European Journal of Operational Research. 105:1998;130-142.
3. Caudille M. Neural network training tips and techniques. AI Expert. 11:1991;56-61.
4. Crooks T. Care and feeding of neural networks. AI Expert. 12:1992;36-49.
5. Funahashi K. On the approximate realization of continuous mappings by neural networks. Neural Networks. 2:1989;183-192.
6. Haykin S. Neural Networks. 1999;Prentice-Hall, New Jersey, NY.
7. Hornik K., Stinchcombe M., White H. Multilayer feedforward networks are universal approximators. Neural Networks. 2:1989;359-366.
8. Kilmer R., Smith A., Shuman L. An emergency department simulation and a neural network metamodel. Journal of the Society for Health Systems. 5(3):1997;63-79.
9. Kilmer R., Smith A., Shuman L. Computing confidence intervals for stochastic simulation using neural network metamodels. Computers and Industrial Engineering. 36:1999;391-407.
10. Lawrence J. Data preparation for a neural network. AI Expert. 11:1991;34-41.
11. Lawrence J. Introduction to Neural Networks. Design, Theory, and Applications:1994;California Scientific Software, Nevada City, CA.
12. Medsker L., Liebowitz J. Design and Development of Expert Systems and Neural Networks. 1994;MacMillan College Publishing, New York, NY.
13. Pegden C., Shannon R., Sadowsky R. Introduction to Simulation using SIMAN. 1995;McGraw Hill, Blacklick, OH.
14. Pierreval, H., 1992. Training a neural network by simulation for dispatching problems. In: Proceedings of the Third Rensselaer International Conference on Computer Integrated Engineering, New York, pp. 332-336.
15. Pierreval, H., Huntsinger, R., 1992. An investigation on neural network capabilities as simulation metamodels. In: Proceedings of the 1992 Summer Computer Simulation Conference, California, CA, pp. 413-417.
16. Rumelhart D., Hinton G., Williams R. Learning representations by error propagation. Parallel Distributed Processing. 1:1996;318-362.
17. Schelasin R., Mauer J. Creating flexible simulation models. IEEE Solutions. 5:1995;50-67.
18. Skapura D. Building Neural Networks. 1996;Addison-Wesley Publishing, New York, NY.