Enterprise Financial Risk Early Warning Using BP Neural Network Under Internet of Things and Rough Set Theory
- 5 May 2022
- journal article
- research article
- Published by World Scientific Pub Co Pte Ltd in Journal of Interconnection Networks
- Vol. 22 (03)
- https://doi.org/10.1142/s0219265921450195
Abstract
No abstract availableKeywords
Funding Information
- 2017 Hengyang Science and Technology Development Plan Project (2017KJ251)
This publication has 21 references indexed in Scilit:
- Applying deep learning method in TVP-VAR model under systematic financial risk monitoring and early warningJournal of Computational and Applied Mathematics, 2021
- Internet financial risk management and control based on improved rough set algorithmJournal of Computational and Applied Mathematics, 2020
- Granulation in Rough Set Theory: A novel perspectiveInternational Journal of Approximate Reasoning, 2020
- Uncertainty mode selection in categorical clustering using the rough set theoryExpert Systems with Applications, 2020
- Machine learning as an early warning system to predict financial crisisInternational Review of Financial Analysis, 2020
- A multicriteria approach based on rough set theory for the incremental Periodic predictionEuropean Journal of Operational Research, 2020
- A fuzzy rough number-based AHP-TOPSIS for design concept evaluation under uncertain environmentsApplied Soft Computing, 2020
- Redefining core preliminary concepts of classic Rough Set Theory for feature selectionEngineering Applications of Artificial Intelligence, 2017
- Resource basis, ecosystem and growth of grain family farm in China: Based on rough set theory and hierarchical linear modelAgricultural Systems, 2017
- The Research of the Regional Financial Risk Early-Warning Model Integrating the Regression of Lagging FactorsAASRI Procedia, 2012