Abstract
As it is well known that QoS play an important role in industrial Internets. However, existing prediction methods failed in obtaining accurate QoS prediction results. Hence, in this paper, we proposed a high accurate approach for QoS prediction for industrial Internets. The key idea of this approach is to adopt back-propagation neural network to predict the QoS data. We implement our approach and experiment it based on a real-world QoS dataset. The experimental results show that our proposed approach can perform accurate QoS prediction results.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, H. (2017). Back-Propagation Neural Network for QoS Prediction in Industrial Internets. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_57
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DOI: https://doi.org/10.1007/978-3-319-59288-6_57
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