scholarly journals Correction to: Machine learning algorithm-based risk assessment of riparian wetlands in Padma River basin of Northwest Bangladesh

2021 ◽  
Author(s):  
Abu Reza Md. Towfiqul Islam ◽  
Swapan Talukdar ◽  
Susanta Mahato ◽  
Sk Ziaul ◽  
Kutub Uddin Eibek ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Assessment ◽  
River Basin ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Riparian Wetlands ◽  
Padma River

scholarly journals Modeling the damming effect on hydrological alteration and prediction of discharge in Padma River by proposing PSO based novel hybrid machine learning algorithm

2020 ◽  
Author(s):  
Abu Reza Md Towfiqul Islam ◽  
Swapan Talukdar ◽  
Shumona Akhter ◽  
Kutub Uddin Eibek ◽  
Md Mostafizur Rahman ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
Hydrological Alteration ◽  
Hybrid Machine ◽  
Padma River

scholarly journals Risk Assessment of Government Debt Based on Machine Learning Algorithm

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Dan Chen
Keyword(s):  
Machine Learning ◽  
Risk Assessment ◽  
Local Government ◽  
Learning Algorithm ◽  
Government Debt ◽  
Entropy Method ◽  
Assessment System ◽  
Machine Learning Algorithm ◽  
Fiscal Revenue ◽  
The Government

Government debt risk is an important factor affecting macroeconomic stability and public expectation. The key to its prevention and control lies in early warning and early prevention. This paper builds an effective government debt risk assessment system based on machine learning algorithm. According to forming the performance of local government debt risk and its internal and external influencing factors, this study applies the analytic hierarchy process, entropy method, and BP neural network method to construct the local government risk assessment index system, which includes the primary and secondary indexes including the explicit debt risk, the contingent implicit debt risk, and the financial and economic operation risk. Using this system, this study carries on the government debt risk comprehensive weight assignment, the fiscal revenue forecast, the default probability calculation, the safety scale forecast, and finally the government debt risk assessment of the validity analysis. The system can provide signal guidance and policy reference for finance to cope with risks in advance, arrange the priority order of debt repayment, optimize the structure of fiscal revenue and expenditure, etc.

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