Article
Computer Science, Artificial Intelligence
Xinzhe Yin, Jinghua Li, Shoujun Huang
Summary: This study designed an economic early warning system based on improved genetic and BP hybrid algorithm and neural network, which can accurately reflect actual economic fluctuations with good accuracy.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Environmental Studies
Xiaojun Sun, Yalin Lei
Summary: Mining industry is the basic industry of national economy, while listed mining companies face serious financial risks due to various reasons. Previous research mainly focuses on improving financial performance through adjusting R&D activities and environmental performance, with room for more in-depth study in systematic prevention and early warning of financial risks. Scholars have used various models for financial risk prediction, and constructing a BP neural network model for financial early warning shows promising results for mining listed companies.
Article
Energy & Fuels
Jie Wan, Baochun Yu
Summary: The concept of low-carbon economic development has resulted in changes in the business environment and financial environment of enterprises, leading to increased financial risks. This paper aims to help enterprises better predict, prevent, and control financial risks from the perspective of low-carbon economy. A financial risk management framework with clear hierarchy and strict vertical logic is constructed, and a risk prediction model using BPNN is established. The study provides a reference for low-carbon economy enterprises in dealing with financial risks.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Energy & Fuels
Lin Wei, Hanyue Yu, Bin Li
Summary: Oil, as a global non-renewable energy source, is crucial for the global economy and strategic reserves. The financial market increasingly controls crude oil, which has expanded beyond its role as a pure energy commodity. This study analyzes and predicts the financial risks of non-renewable energy, particularly oil, using Bayesian network and BP neural network models. The results demonstrate that the Bayesian network outperforms the BP neural network in terms of fitting effect, achieving a fitting success rate of 80%. Therefore, it is highly necessary to adopt the Bayesian network prediction model for early warning of petroleum finance risks.
Article
Engineering, Multidisciplinary
Zongtao Zhao, Min Dong, Qian Bian
Summary: Public finance plays a crucial role in national development and construction, as it is closely related to people's lives and symbolizes a country's prosperity and strength. To ensure a sound state of public finance, it is necessary to establish a monitoring and early warning system that suits China's national conditions.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Zongtao Zhao, Min Dong, Qian Bian
Summary: Public finance plays a crucial role in the development and construction of a country, closely related to people's lives and a symbol of national prosperity and strength. Establishing a monitoring and early warning system that fits the country's conditions is crucial.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Hanyu Yang, Xutao Li, Wenhao Qiang, Yuhan Zhao, Wei Zhang, Chang Tang
Summary: This paper proposes a network traffic prediction method based on SA optimized ARIMA-BPNN, which improves the accuracy of network traffic prediction by comprehensively using linear and non-linear models as well as optimization algorithm.
Article
Mathematical & Computational Biology
Ying Chen
Summary: Financial early warning mechanism is crucial for the long-term healthy development and stable operation of listed enterprises. This paper compares the prediction effects of Logistic regression model and BP neural network model, and concludes that the simulated annealing algorithm has many advantages in optimizing the BP neural network model. The combination of simulated annealing algorithm with multithreading, data compression, and segmentation significantly improves the algorithm efficiency and reduces running time.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE
(2021)
Article
Social Sciences, Interdisciplinary
Yinglan Zhao, Yi Li, Chen Feng, Chi Gong, Hongru Tan
Summary: This paper uses macro and micro indicators to establish a BP neural network model, studies the contagion effect of local government hidden debt on systemic financial risks, and predicts the systemic financial risks in 2019. It also constructs an early warning risk system based on prefecture-level city data and investigates the early warning effect of local government implicit debt on systemic financial risk under different stress scenarios. The study finds that local government implicit debt risk, financing platform bank debt scale, PPP scale, and urban investment bond scale have a significant impact on systemic financial risks.
Article
Computer Science, Hardware & Architecture
Qun Yang, Zhengyan Xi
Summary: With the rapid development of the economy, there are increasing issues in business enterprise finance, and organization finance faces significant risks. In the complex market environment, the uncertainty and frequency of economic crises in business operations intensify. It is crucial to establish an effective financial crisis early warning model to prevent and control the occurrence of financial risks.
JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS
(2023)
Article
Computer Science, Information Systems
Zhichao Deng, Meiji Yan, Xu Xiao
Summary: This paper proposes an early warning model of credit risk for cross-border e-commerce, constructed using KPCA, IPSO, and BP neural network. The model shows superior efficiency in training and testing data from different enterprises.
MOBILE INFORMATION SYSTEMS
(2021)
Article
Engineering, Marine
Yuanzhou Zheng, Xuemeng Lv, Long Qian, Xinyu Liu
Summary: This paper proposes a ship position prediction model combining genetic algorithm, ant colony algorithm, and BP neural network, which improves the accuracy and efficiency of position prediction by deep preprocessing AIS data and optimizing neural network parameters.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Psychology, Multidisciplinary
Shuang Zheng, Xiaomei Hu
Summary: The study collected tuberculosis data from a city from 2017 to 2019 and constructed a prediction model. Through comparative analysis, it was found that the early warning method based on ANN in deep learning performs better in improving the early warning capabilities of public health emergencies.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Multidisciplinary Sciences
Fanqiang Meng
Summary: This passage describes a safety early warning model based on fuzzy c-means clustering and back-propagation neural network, which is optimized using a genetic algorithm to improve prediction accuracy and convergence speed. The model is applied in a coal mining face in Shandong, China, demonstrating the capability to predict and warn about safety conditions and reduce accident probability.
Article
Energy & Fuels
Chao Nai
Summary: Energy finance is the result of the close integration of the energy industry and the financial industry, with mutual influence between the two. An energy crisis can lead to a financial crisis, and a financial crisis can also lead to an energy crisis. Early risk warning for energy financial crises can effectively mitigate and reduce risks. This article used the GABP algorithm model to analyze and predict energy finance risks, and compared it with a manual analysis model. The results show that the GABP model has advantages in constructing energy finance risk warning models.
FRONTIERS IN ENERGY RESEARCH
(2023)
