Hybridizing kernel-based fuzzy c-means with hierarchical selective neural network ensemble model for business failure prediction-Reference-Cited by-同舟云学术

Hybridizing kernel-based fuzzy c-means with hierarchical selective neural network ensemble model for business failure prediction

Published:2019-01-07 Issue:2 Volume:38 Page:92-105
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Liu Jiaming¹^ORCID,Wu Chong²

Affiliation:

1. School of Economics and Management; Beijing University of Chemical Technology; Beijing China

2. School of Economics and Management; Harbin Institute of Technology; Harbin, Hei Longjiang China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Heilongjiang Province

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modeling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/for.2561/fullpdf

Reference38 articles.

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2. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy;Altman;Journal of Finance,1968

3. Financial ratios as predictors of failure;Beaver;Journal of Accounting Research,1966

4. Pattern Recognition with Fuzzy Objective Function Algorithms

5. MCELCCh-FDP: Financial distress prediction with classifier ensembles based on firm life cycle and Choquet integral;Cao;Expert Systems with Applications,2012

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