Analysis of Early Warning of RMB Exchange Rate Fluctuation and Value at Risk Measurement Based on Deep Learning

Lu, Chunyi; Teng, Zhuoqi; Gao, Yu; Wu, Renhong; Hossain, Md. Alamgir; Fang, Yuantao

doi:10.1007/s10614-021-10172-z

Cited by 9 publications

(2 citation statements)

References 34 publications

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“…According to the research, the intelligent technology of man-post matching knowledge ontology [23] refers to the realization of sharing and continuous reuse of rational knowledge elements of man-post matching between semantically consistent man-post matching knowledge ontologies by defining unified term concepts, attributes and relationships in the field of man-post matching, and by calculating similarity of mapping and mapped results in the context of the development of Internet technology. In the context of the development of Internet technology, by defining the field of man-place matching, the academic community is applying knowledge ontology to the research on risk prediction and early warning of human resource management.…”

Section: Related Workmentioning

confidence: 99%

Research on Risk Prediction and Early Warning of Human Resource Management Based on Machine Learning and Ontology Reasoning

2023

Teh. vjesn.

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Talent is the first resource, the development of the enterprise to retain key talent is essential, the main research is based on machine learning and ontological reasoning, human resources analysis and management risk prediction and early warning methods, first of all, according to the specific situation and the target case, through the calculation of the similarity of the concept name and attribute of the similarity assessment of the source case in the case library, the matching of knowledge-based employees of the company's case for the similarity prediction and human resources management risk prediction research. Then, according to the evaluation results, we can find out the most suitable job matches in specific risk problems and situations. This is a solution to the target cases and criteria for companies to evaluate candidates. Second, we have successfully developed and implemented a prediction model that applies machine learning to the early warning study of risk prediction for HR management. The model is optimized with a cross-validation function, and the convergence of the model training is accelerated by the regularization of Newton's iterative method. Finally, our prediction model achieved 82% yield. Ontological reasoning and machine learning are promising in human resource management risk prediction and warning, which is proved by the high accuracy rate verified by examples. Finally, we analyze the proposed results of HRM risk prediction and early warning to contribute to the improvement of risk control and suggest measures for possible risks.

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Section: Related Workmentioning

confidence: 99%

Research on Risk Prediction and Early Warning of Human Resource Management Based on Machine Learning and Ontology Reasoning

2023

Teh. vjesn.

View full text Add to dashboard Cite

show abstract

“…The experimental results showed that the combination of theoretical methods and financial time series forecasting model can significantly improve the forecasting performance for the Shanghai Stock Exchange Index. Lu et al ( 2021 ) integrated with the autoregressive moving average model-generalized autoregressive conditional heteroskedasticity (ARMA-GARCH) model to construct the VaR risk measurement model. In addition, the time-series datasets were trained and tested by deep neural network and the LSTM model.…”

Section: Fewer Research Questions Diverse Fieldsmentioning

confidence: 99%