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Developing SFNN models to predict financial distress of construction companies

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References

1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
1966Financial Ratios As Predictors of Failure4,753 cited
1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
2007Financial statement analysis1,022 cited
200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems795 cited
2006Predicting corporate bankruptcy: where we stand?402 cited
2006A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy381 cited
2004An exploration of project management office features and their relationship to project performance352 cited
2008Using neural networks and data mining techniques for the financial distress prediction model283 cited
1996Hybrid neural network models for bankruptcy predictions257 cited
2009A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models158 cited
2024Financial Statement Analysis156 cited
2003The relationship between project leadership, team composition and construction project performance in Nigeria138 cited
2005Project management turnover: causes and effects on project performance120 cited

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1992Financial Performance Analysis for Construction Industry100 cited

2001Description, explanation, prediction – the evolution of bankruptcy studies?73 cited

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2014A Grey System Theory‐Based Default Prediction Model for Construction Firms25 cited
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2022Research on corporate financial performance prediction based on self‐organizing and convolutional neural networks17 cited