Abstract
The study of system dynamics starts from model construction and simulation to understand and solve dynamical complicated problems. Traditional approaches of modeling process depend on experts’ experiences and the trial-and-error pro- cedure, so it is difficult to guarantee a useful model. Because a system dynam- ics model is equivalent to a specially-designed artificial neural network, both of which operate under the same numerical propagation constraints, we use the ar- tificial neural network training algorithms and take advantage of historical data to assist system dynamics model construction. Experimental studies show that this approach is feasible.
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References
Forrester, J.W.: Industrial Dynamics. The MIT Press, Cambridge (1961)
Angerhofer, B.J., Angelides, M.C.: System Dynamics Modeling in Supply Chain Management: Research Review. In: Joines, J.A., Barton, R.R., Kang, K., Fishwick, P.A. (eds.) Proceedings of the 2000 Winter Simulation Conference, pp. 342–351 (2000)
Starr, P.J.: Modeling Issues and Decisions in System Dynamics. TIMS Studies in the Management Science 14, 45–59 (1980)
Randers, J.: Guidelines for Model Conceptualization. In: Randers, J. (ed.) Elements of the System Dynamics Method, MIT Press, Cambridge (1980)
Forrester, J.W.: System Dynamics, Systems Thinking, and Soft OR. System Dynamics Review 10, 245–256 (1994)
Sterman, J.D.: Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill, Boston (2000)
Kofjac, D., Skraba, A., Kljajic, M.: Neural Network Modeling by System Dynamics Methodology- basic Concepts. The IEEE Region 8 EUROCON 1, 424–428 (2003)
Chen, Y.-T.: The Use of SDM-PRN Transformation for System Dynamics Model Construction and Policies Design. Doctoral Dissertation, National Sun Yat-sen University (2001) (in Traditional Chinese)
Zell, A., Mamier, G., Vogt, M., et al.: SNNS User Manual, Ver. 4.1. University of Stuttgart (1995)
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Ren, C., Chai, Y., Liu, Y. (2005). Adding Value to System Dynamics Modeling by Using Artificial Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_70
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DOI: https://doi.org/10.1007/11427445_70
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25913-8
Online ISBN: 978-3-540-32067-8
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