Managing Multi-site Artificial Neural Networks’ Activation Rates and Activation Cycles
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64073-5_17
Reference8 articles.
1. Grum, M.: Construction of a Concept of Neuronal Modeling. Springer (2022). https://doi.org/10.1007/978-3-658-35999-7
2. Grum, M.: Researching multi-site artificial neural networks’ activation rates and activation cycles - the provision of an open source simulation system for examining ANN-based, multi-site cyber-physical production systems. In: Business Modeling and Software Design: 14th International Symposium, BMSD, pp.1–18. Springer (will be published soon), Luxembourg (2024)
3. Bergweiler, S.: Smart factory systems–fostering cloud-based manufacturing based on self-monitoring cyber-physical systems. Development 2, 3 (2016)
4. Grum, M., Thim, C., Gronau, N.: Aiming for Knowledge-Transfer-Optimizing Intelligent Cyber-Physical Systems. In: Andersen, A.L., Andersen, R., Brunoe, T.D., Larsen, M.S.S., Nielsen, K., Napoleone, A., Kjeldgaard, S. (eds.) CARV/MCPC -2021. LNME, pp. 149–157. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-90700-6_16
5. Bender, B., Grum, M., Gronau, N., Alfa, A. and Maharaj, B.T.: Design of a worldwide simulation system for distributed cyber-physical production networks. In: 2019 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), pp. 1–7. IEEE (2019)
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