Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Effectiveness of neural network types for prediction of business failure

8 references·16 citing·32 second hop

FromToDepth

this work references cited by second hop

References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
1966Financial Ratios As Predictors of Failure4,753 cited
1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
1983Corporate financial distress : a complete guide to predicting, avoiding, and dealing with bankruptcy561 cited
1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
1968Market Prices, Financial Ratios, and the Prediction of Failure416 cited
1987CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION350 cited

Cited by

2020Machine Learning for Financial Risk Management: A Survey203 cited
2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks201 cited
2008Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach182 cited
2012Financial distress prediction using support vector machines: Ensemble vs. individual153 cited
2010Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy151 cited
2013Bankruptcy prediction using Extreme Learning Machine and financial expertise

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

146 cited

2012Small Enterprise Default Prediction Modeling through Artificial Neural Networks: An Empirical Analysis of Italian Small Enterprises145 cited

1997A case-based reasoning approach to bankruptcy prediction modeling141 cited

2000The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study127 cited

2017Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction126 cited

2000Selecting bankruptcy predictors using a support vector machine approach108 cited

1999Business failure prediction using the UTADIS multicriteria analysis method101 cited

2007Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors91 cited

2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time86 cited

2012CRM strategies for a small-sized online shopping mall based on association rules and sequential patterns84 cited

2013The impact of multinationality on firm value: A comparative analysis of machine learning techniques82 cited