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Developing SFNN models to predict financial distress of construction companies · Study

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ArticleDeveloping SFNN models to predict financial distress of construction companies

Jieh‐Haur Chen2011

Article2011

Developing SFNN models to predict financial distress of construction companies

Jieh‐Haur Chen

47 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Forecasting Techniques and Applications Evaluation and Optimization Models

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References

1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1972A Discriminant Analysis of Predictors of Business Failure 2007Financial statement analysis 200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems 2006Predicting corporate bankruptcy: where we stand?2006A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy 2004An exploration of project management office features and their relationship to project performance

Cited by

2019How to convince players in construction market? Strategies for effective implementation of circular economy in construction sector 2019Business Failure Prediction of Construction Contractors Using a LSTM RNN with Accounting, Construction Market, and Macroeconomic Variables 2018A Big Data Analytics Approach for Construction Firms Failure Prediction Models 2016Critical factors for insolvency prediction: towards a theoretical model for the construction industry

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Year2011

Typearticle

Published2011-07-28

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations47

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2011.07.080

openalex_workW2033169367

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2019

Predicting Business Failure of Construction Contractors Using Long Short-Term Memory Recurrent Neural Network

2015Bankruptcy Prediction of Construction Businesses: Towards a Big Data Analytics Approach

2019Dynamization of bankruptcy models via indicator variables

2016Methodological approach of construction business failure prediction studies: a review