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BP neural network-based product quality risk prediction

Advances in Intelligent Systems and Computing (2020) 1117 AISC 1021-1026
DOI: 10.1007/978-981-15-2568-1_140
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Abstract

This paper aims to characterize the quality risk of products through the number of injured people. Based on time series data about the number of product-injured people, a stable BP neural network model is established to make a scientific prediction about the number of people injured by products and provide methodological support for product quality risk management and control.

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Xu, Y., Pei, F., Wu, Q., & Liu, B. (2020). BP neural network-based product quality risk prediction. In Advances in Intelligent Systems and Computing (Vol. 1117 AISC, pp. 1021–1026). Springer. https://doi.org/10.1007/978-981-15-2568-1_140

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