Abstract
In order to ensure smooth functioning of a production system, the stability of its processes must be guaranteed, while on the other hand it must be possible to make quick decisions encumbered with the lowest possible risk. Innovations concerning products or processes are a necessary condition to remain on the market, but they always carry the risk of losing the stability. The risk results from the uncertainty associated with making decisions as to the future, as well as from the fact that the implementation of innovations is one of the factors that disturb the current manner of the company’s operation.
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Burduk, A. (2015). The Role of Artificial Neural Network Models in Ensuring the Stability of Systems. In: Herrero, Á., Sedano, J., Baruque, B., Quintián, H., Corchado, E. (eds) 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol 368. Springer, Cham. https://doi.org/10.1007/978-3-319-19719-7_37
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DOI: https://doi.org/10.1007/978-3-319-19719-7_37
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