scholarly journals Supply Chain Risk Prevention and Control Based on Fuzzy Influence Diagram and Discrete Hopfield Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xin Su ◽  
Maohua Zhong
Keyword(s):  
Neural Network ◽  
Supply Chain ◽  
Prevention And Control ◽  
Hopfield Neural Network ◽  
Control Model ◽  
Risk Prevention ◽  
Influence Diagram ◽  
Occurrence Probability ◽  
Supply Chain Risk ◽  
And Control

Efficient and reasonable supply chain management helps enterprises improve their efficiency, reduce costs, shorten cash flow times, and reduce enterprise risks. Risk prevention and control is a safety symbol for supply chains. To explore different influence degrees of multirisk factors and multilinks on enterprises, we propose a supply chain risk prevention and control model based on a fuzzy influence diagram and Hopfield neural network. Using the model that both calculates the risk size and occurrence probability of the supply chain and allows identifying various risk prevention and control levels, the supply chain risk is evaluated both objectively and fairly. We analyzed the theoretical and practical properties of supply chain risk prevention and control models and used it in the H company to illustrate this model.

scholarly journals An ad-hoc network routing algorithm based on improved neural network under the influence of COVID-19

2020 ◽  
Vol 39 (6) ◽  
pp. 8767-8774
Author(s):  
Cui Kai
Keyword(s):  
Neural Network ◽  
Ad Hoc Networks ◽  
Ad Hoc Network ◽  
Prevention And Control ◽  
Ad Hoc ◽  
Routing Algorithm ◽  
Hopfield Neural Network ◽  
Network Routing ◽  
Hoc Networks ◽  
And Control

Under the influence of COVID-19, an efficient Ad-hoc network routing algorithm is required in the process of epidemic prevention and control. Artificial neural network has become an effective method to solve large-scale optimization problems. It has been proved that the appropriate neural network can get the exact solution of the problem in real time. Based on the continuous Hopfield neural network (CHNN), this paper focuses on the study of the best algorithm path for QoS routing in Ad-hoc networks. In this paper, a new Hopfield neural network model is proposed to solve the minimum cost problem in Ad-hoc networks with time delay. In the improved version of the path algorithm, the relationship between the parameters of the energy function is provided, and it is proved that the feasible solution of the network belongs to the category of progressive stability by properly selecting the parameters. The calculation example shows that the solution is not affected by the initial value, and the global optimal solution can always be obtained. The algorithm is very effective in the prevention and control in COVID-19 epidemic.

scholarly journals Protection and Response of a Tertiary Hospital in Shenzhen, China to the COVID-19 Outbreak—the Practice of the Comprehensive Response Mode

2021 ◽  
pp. 1-17
Author(s):  
Benling Hu ◽  
Le Yang ◽  
Chan Wei ◽  
Min Luo
Keyword(s):  
Prevention And Control ◽  
Tertiary Hospital ◽  
Control Model ◽  
Normal Operation ◽  
Process Reengineering ◽  
Equipment Management ◽  
Hospital Acquired Infection ◽  
Public Health Emergencies ◽  
Hospital Acquired ◽  
And Control

ABSTRACT Objective: To evaluate the management mode for the prevention and control of coronavirus 2019 (COVID-19) transmission utilized at a general hospital in Shenzhen, China, with the aim to maintain the normal operation of the hospital. Methods: From January 2, 2020 to April 23, 2020, Hong Kong–Shenzhen Hospital, a tertiary hospital in Shenzhen, has operated a special response protocol named comprehensive pandemic prevention and control model, which mainly includes six aspects: 1) human resource management; 2) equipment management; 3) logistics management; 4) cleaning, disinfection and process reengineering; 5) environment layout; 6) and training and assessment. The detail of every aspect was described and its efficiency was evaluated. Results: A total of 198,802 patients were received. Of those, 10,821 were hospitalized; 26,767 were received by the emergency department and fever clinics; 288 patients were admitted for observation with fever; and 324 were admitted as suspected cases for isolation. Under the protocol of comprehensive pandemic prevention and control model, no case of hospital-acquired infection with COVID-19 occurred among the inpatients or staff. Conclusion: The present comprehensive response model may be useful in large public health emergencies to ensure appropriate management and protect the health and life of individuals.

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