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Comprehensive Evaluation Method of Digital Economy Development Level Based on Complex Network Model.

Computational intelligence and neuroscience
In today's economic globalization and artificial intelligence modern society, the rapid economic growth mainly relies on the vigorous development of digital information technology. Simultaneously, digital technology promotes economic revolution and p...

Intelligent Evaluation and Early Warning of Liquidity Risk of Commercial Banks Based on RNN.

Computational intelligence and neuroscience
With the downward pressure of China's economy and the impact of the epidemic, the accumulated market risk has increased the liquidity pressure of the banking industry, and the mismatch between deposit maturity and loan maturity is the main cause for ...

Ensemble model for rail surface defects detection.

PloS one
The detection of rail surface defects is vital for high-speed rail maintenance and management. The CNN-based computer vision approach has been proved to be a strong detection tool widely used in various industrial scenarios. However, the CNN-based de...

Application of BP Neural Networks in Garment Pattern Design System.

Computational intelligence and neuroscience
With the intensification of global market competition and the continuous development of the information technology, competition in the apparel market has become increasingly fierce. The key to whether China's garment industry can maintain its advanta...

Establishment of Economic Forecasting Model of High-tech Industry Based on Genetic Optimization Neural Network.

Computational intelligence and neuroscience
Scientific and accurate prediction of high-tech industries is of great practical significance for government departments to grasp the future economic operation and formulate development strategies. In this paper, aiming at some shortcomings of neural...

Online Anomaly Detection of Industrial IoT Based on Hybrid Machine Learning Architecture.

Computational intelligence and neuroscience
Industrial IoT (IIoT) in Industry 4.0 integrates everything at the level of information technology with the level of technology of operation and aims to improve Business to Business (B2B) services (from production to public services). It includes Mac...

Visualization and Analysis Model of Industrial Economy Status and Development Based on Knowledge Graph and Deep Neural Network.

Computational intelligence and neuroscience
This paper adopts knowledge mapping combined with a deep neural network algorithm to conduct in-depth research and analysis on the current situation and development of the industrial economy and designs a visual analysis model of economic development...

The Impact of Corporate Capital Structure on Financial Performance Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Capital structure is an important indicator to measure the source, composition, and proportion of a company's equity and debit capital. It is not only related to the internal operating environment of listed companies but also related to the rights an...

Real-Time Fault Detection and Condition Monitoring for Industrial Autonomous Transfer Vehicles Utilizing Edge Artificial Intelligence.

Sensors (Basel, Switzerland)
Early fault detection and real-time condition monitoring systems have become quite significant for today's modern industrial systems. In a high volume of manufacturing facilities, fleets of equipment are expected to operate uninterrupted for days or ...

Identification of Insider Trading in the Securities Market Based on Multi-task Deep Neural Network.

Computational intelligence and neuroscience
Illegal insider trading identification is of great significance to the healthy development of the securities market. However, with the development of information technology, problems such as multidata sources and noise bring challenges to the insider...