The assisted prediction modelling frame with hybridisation and ensemble for business risk forecasting and an implementation
DOI10.1080/00207721.2013.849771zbMath1332.91090OpenAlexW2068338255MaRDI QIDQ2792947
Lu-Yao Hong, Qing Zhou, Hui Li, Haijie Yu
Publication date: 14 March 2016
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2013.849771
forecasting modelsassisted prediction modelling framebusiness risk predictionhybridisation and ensemble
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Economic time series analysis (91B84) Production theory, theory of the firm (91B38) Statistical methods; economic indices and measures (91B82)
Cites Work
- Constructing support vector machine ensemble.
- Neural network ensemble strategies for financial decision applications
- Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms
- Nonparametric interval prediction of chaotic time series and its application to climatic system
- Fuzzy model-based fault detection and diagnosis for a pilot heat exchanger
- Active fault diagnosis by controller modification
- Fault detection for discrete-time systems in a networked environment
- Fault detection with network communication
- Nonlinear sliding mode high-gain observers for fault estimation
- Fault detection in rotating machinery using kernel-based probability density estimation
- Automated visual inspection system for wood defect classification using computational intelligence techniques
- Electric load forecasting: Literature survey and classification of methods
- 10.1162/153244303322753643
- Reliability prediction for evolutionary product in the conceptual design phase using neural network-based fuzzy synthetic assessment
- Demand forecasting of perishable farm products using support vector machine
- Analysis of linear and nonlinear dimensionality reduction methods for gender classification of face images
This page was built for publication: The assisted prediction modelling frame with hybridisation and ensemble for business risk forecasting and an implementation