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
Ensuring food quality and safety is essential after ensuring the quantity of food. Therefore,
an improved adaptive particle swarm optimization algorithm (IAPSO) for optimizing the long …

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
Purpose Food safety risk brought by environmental pollution seriously threatens human
health and affects national economic and social development. In particular, heavy metal …

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 is an important issue affecting social development. Early warning analysis and
risk control of food safety is of great significance in managing food safety risks, thereby …

Research on food security risk assessment and early warning in China based on BP neural network model

Y Hou, X Liang - Journal of Food Quality, 2022 - Wiley Online Library
China has always attached great importance to food security issues; especially in today's
changeable world, it is particularly important to build a feasible and accurate food security …

[HTML][HTML] 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
Food safety problems are becoming increasingly severe in modern society, and establishing
an accurate food safety risk warning and analysis model is of positive significance in …

[Retracted] Optimization Algorithm of Tourism Security Early Warning Information System Based on Long Short‐Term Memory (LSTM)

L Feng, Y Hao - Computational Intelligence and Neuroscience, 2021 - Wiley Online Library
Tourism safety is the focus of the tourism industry. It is not only related to the safety of
tourists' lives and property, but also related to social stability and sustainable development of …

Risk prediction model for food safety based on improved random forest integrating virtual sample

Z Geng, X Duan, J Li, C Chu, Y Han - Engineering Applications of Artificial …, 2022 - Elsevier
Food safety has a severe impact on the world economy and global health, and improving the
prediction accuracy and prevention ability of food safety risks and hazards protection is of …

[Retracted] Design and Application of BP Neural Network Optimization Method Based on SIWSPSO Algorithm

L Chu - Security and Communication Networks, 2022 - Wiley Online Library
BP neural network method can deal with nonlinear and uncertain problems well and is
widely used in the construction of classification, clustering, prediction, and other models …

Food safety risk intelligence early warning based on support vector machine

Y Zhang - Journal of Intelligent & Fuzzy Systems, 2020 - content.iospress.com
From the perspective of China's food safety management practices, effective early warning
and intervention of food safety risks in the food industry chain will greatly reduce the …

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
Food safety is vital to the national economy and livelihood of people. Therefore, effective
food safety warnings are helpful to the healthy and sustainable development of society …