Early warning modeling and analysis based on analytic hierarchy process integrated extreme learning machine (AHP-ELM): Application to food safety

ZQ Geng, SS Zhao, GC Tao, YM Han - Food Control, 2017 - Elsevier
… Finally, we established a food safety warning model based on the AHP-ELM. The proposed
method has been applied to the food safety early warning and monitoring system in one …

Early warning modeling and analysis based on a deep radial basis function neural network integrating an analytic hierarchy process: A case study for food safety

Z Geng, D Shang, Y Han, Y Zhong - Food control, 2019 - Elsevier
… Therefore, effective food safety warnings are helpful to … warning modeling for a certain scale
of complex food safety inspection data, this paper proposes a novel early warning modeling

Food safety risk intelligence early warning based on support vector machine

Y Zhang - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
… extent that the construction of food safety risk intelligence early warning models is to be carried
out … a solution for the establishment of food safety risk intelligence early warning models. …

An ensemble of AHP-EW and AE-RNN for food safety risk early warning

J Zhong, L Sun, E Zuo, C Chen, C Chen, H Jiang, H Li… - Plos one, 2023 - journals.plos.org
… The evaluation and early warning methods for food safety risk are continuously developed
to conduct detailed risk analysis on food data, such as Bayesian modeling based on …

Application of machine learning to the monitoring and prediction of food safety: A review

X Wang, Y Bouzembrak, AO Lansink… - … and Food Safety, 2022 - Wiley Online Library
… future studies applying ML models for the monitoring and prediction of food safety, in addition
to … , thereby providing tools for early warning for food safety. This approach could help risk …

Early warning and control of food safety risk using an improved AHC-RBF neural network integrating AHP-EW

Z Geng, F Liu, D Shang, Y Han, Y Shang… - Journal of Food …, 2021 - Elsevier
food safety risks, thereby ensuring food safety. In this paper, we propose an improved early
warning approach for assessing and controlling food safety … risk early warning modeling for …

Anomaly score-based risk early warning system for rapidly controlling food safety risk

E Zuo, X Du, A Aysa, X Lv, M Muhammat, Y Zhao… - Foods, 2022 - mdpi.com
… assessment models is the key to food safety risk warnings. With the development of artificial
intelligence, machine learning techniques are also widely employed in food safety analysis …

Risk early warning of food safety using novel long short-term memory neural network integrating sum product based analytic hierarchy process

Z Geng, L Liang, Y Han, G Tao, C Chu - British Food Journal, 2022 - emerald.com
Food safety risk brought by environmental pollution seriously … present a risk early warning
method of food safety considering … In addition, the BP and the RBF models are used to model …

Risk early warning and control of food safety based on an improved analytic hierarchy process integrating quality control analysis method

B Ma, Y Han, S Cui, Z Geng, H Li, C Chu - Food Control, 2020 - Elsevier
warnings can reduce public panic and risk losses. Therefore, this paper proposes an improved
risk early warning method for food safety … In addition, the early warning modeling method …

Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety

Z Geng, X Wang, Y Jiang, Y Han, B Ma… - Expert Systems with …, 2023 - Elsevier
… to develop a food safety risk early warning model in this paper. … to obtain the risk value of
food safety detection data, which is … Early risk warning refers to the use of predictive models to …