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Application of Neural Network with Autocorrelation in Long-Term Forecasting of Systemic Financial Risk.

Computational intelligence and neuroscience
Carrying out early warning of systemic financial risk is a prerequisite for timely adjustment of monetary policy and macroprudential policy to effectively prevent and resolve systemic financial risks. This paper constructs a systemic financial risk m...

Prediction of drivers' impact on green supply chain management using deep learning algorithm.

Environmental science and pollution research international
Nowadays, for controlling the organizations' environmental impact and attaining performance enhancement in industries, green supply chain management (GSCM) plays a significant role. This work considers four major drivers and five primary dimensions f...

Health State Assessment of Industrial Equipment Driven by the Fusion of Digital Twin Model and Intelligent Algorithm.

Computational intelligence and neuroscience
Equipment health state assessment is of great significance to improve the efficiency of industrial equipment maintenance support and realize accurate support. Using the method driven by the fusion of digital twin model and intelligent algorithm can m...

Predicting technological innovation in new energy vehicles based on an improved radial basis function neural network for policy synergy.

PloS one
Policy synergy is necessary to promote technological innovation and sustainable industrial development. A radial basis function (RBF) neural network model with an automatic coding machine and fractional momentum was proposed for the prediction of tec...

Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain.

Journal of environmental and public health
In the era of artificial intelligence (AI), cultural industries have introduced new development opportunities, and their global value chain (GVC) position is receiving more attention. This study uses panel data from global cross-borders from 56 count...

High-Quality Development of Science and Technology Finance and Logistics Industry in the Yangtze River Economic Belt: Coupling Analysis Based on Deep Learning Model.

Computational intelligence and neuroscience
Using the entropy method, the coupling coordination model, and the Tobit model, the coupling coordination degree of the high-quality development of science and technology finance and the logistics industry in the Yangtze River Economic Belt in China ...

Real Estate Tax Base Assessment by Deep Learning Neural Network in the Context of the Digital Economy.

Computational intelligence and neuroscience
With the continuous development of China's digital economy and the continuous heating of the real estate market, real estate tax base assessment occupies an important position in the real estate market. The purpose is to improve the work efficiency o...

Human-Robot Collaboration in Industrial Automation: Sensors and Algorithms.

Sensors (Basel, Switzerland)
Technology is changing the manufacturing world [...].

Assessing key factors for sporting industry sustainable development through multilayer artificial perceptron neural network approach.

Environmental science and pollution research international
Sustainable development (SD) has recently emerged as a critical axis in industrial strategic management and debate. Apart from the scarcity of resources, the influence of economic difficulties on human life and society has increased the relevance of ...

Performance Optimization of Industrial Supply Chain Using Artificial Intelligence.

Computational intelligence and neuroscience
Nowadays, organized retailing has witnessed a newer trend in the upcoming generations. Globally, these changes are attributed to growing family income, increased female participation, the transformation from joint to nuclear family structure, and tec...