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The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study
15 references·16 citing·39 second hop
The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study (2000)The use of fuzzy clustering algorithm and…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction (1997)Hybrid Classifiers for Financ…Fuzzy sets (1996)Fuzzy setsEffectiveness of neural network types for prediction of business failure (1995)Effectiveness of neural netwo…The Nature of Information in Commercial Bank Loan Loss Disclosures. (1994)The Nature of Information in …The relationship between risk and capital in commercial banks (1992)The relationship between risk…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)PREDICTING BANKRUPTCY FOR FIR…PREDICTING BANK FAILURES: A NEURAL NETWORK APPROACH (1990)PREDICTING BANK FAILURES: A N…An application of the cox proportional hazards model to bank failure (1986)An application of the cox pro…A factor-analytic approach to bank condition (1985)A factor-analytic approach to…Early warning of bank failure (1977)Early warning of bank failurePREDICTION OF BANK FAILURES (1970)PREDICTION OF BANK FAILURESFuzzy sets (1965)Fuzzy setsBank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis (2022)Bank efficiency and failure p…Predicting Bankruptcy with Robust Logistic Regression (2021)Predicting Bankruptcy with Ro…Applications of artificial intelligence for disaster management (2020)Applications of artificial in…Failure pattern-based ensembles applied to bankruptcy forecasting (2018)Failure pattern-based ensembl…Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Hybrid genetic algorithm and …The Effectiveness of Capital Adequacy Measures in Predicting Bank Distress (2012)The Effectiveness of Capital …A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy (2012)A hybrid device for the solut…Financial ratings with scarce information: A neural network approach (2011)Financial ratings with scarce…Applying Z-score model to distinguish insolvent construction companies in China (2011)Applying Z-score model to dis…Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP (2010)Financial distress prediction…Financial Crises and Bank Failures: A Review of Prediction Methods (2009)Financial Crises and Bank Fai…Applying enhanced data mining approaches in predicting bank performance: A case of Taiwanese commercial banks (2009)Applying enhanced data mining…Customer pattern search for after-sales service in manufacturing (2008)Customer pattern search for a…Prediction of bank failures in emerging financial markets: an ANN approach (2007)Prediction of bank failures i…BIOLOGICAL BRAIN‐INSPIRED GENETIC COMPLEMENTARY LEARNING FOR STOCK MARKET AND BANK FAILURE PREDICTION1 (2007)BIOLOGICAL BRAIN‐INSPIRED GEN…The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases (2001)The cluster-indexing method f…The Market for "Lemons": Quality Uncertainty and the Market Mechanism (1970)Good News and Bad News: Representation Theorems and Applications (1981)Reputation and imperfect information (1982)Discretionary behavior with respect to allowances for loan losses and the behavior of security prices (1996)Cross-country determinants of bank income smoothing by managing loan-loss provisions (2007)Discretionary Revenues as a Measure of Earnings Management (2010)Limited-dependent and qualitative variables in econometrics (1983)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)An Analytic Derivation of the Efficient Portfolio Frontier (1972)An analytic derivation of the cost of deposit insurance and loan guarantees An application of modern option pricing theory (1977)Risk in Banking and Capital Regulation (1988)Capital requirements and bank behaviour: Empirical evidence for Switzerland (2001)Market discipline, disclosure and moral hazard in banking (2006)Examining the Relationships between Capital, Risk and Efficiency in European Banking (2007)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Predicting corporate bankruptcy: where we stand? 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(2009)Frailty Correlated Default (2009)Crime and Punishment: An Economic Approach (1968)A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS (1975)Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Credit risk measurement: Developments over the last 20 years (1997)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1996Fuzzy sets46,880 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1977Early warning of bank failure960 cited
  • 1992The relationship between risk and capital in commercial banks776 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1986An application of the cox proportional hazards model to bank failure559 cited
  • 1994The Nature of Information in Commercial Bank Loan Loss Disclosures.543 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1970PREDICTION OF BANK FAILURES501 cited
  • 1990PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS286 cited
  • 1995Effectiveness of neural network types for prediction of business failure202 cited
  • 1985A factor-analytic approach to bank condition196 cited
  • 1997Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction152 cited
  • 1990PREDICTING BANK FAILURES: A NEURAL NETWORK APPROACH149 cited

Cited by

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  • 2020Applications of artificial intelligence for disaster management488 cited
  • 2017Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction126 cited
  • 2001The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases88 cited
  • 2010Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP81 cited
  • 2011Applying Z-score model to distinguish insolvent construction companies in China75 cited
  • 2007Prediction of bank failures in emerging financial markets: an ANN approach74 cited
  • 2018Failure pattern-based ensembles applied to bankruptcy forecasting65 cited
  • 2012A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy64 cited
  • 2021Predicting Bankruptcy with Robust Logistic Regression63 cited
  • 2012The Effectiveness of Capital Adequacy Measures in Predicting Bank Distress61 cited
  • 2008Customer pattern search for after-sales service in manufacturing58 cited
  • 2007BIOLOGICAL BRAIN‐INSPIRED GENETIC COMPLEMENTARY LEARNING FOR STOCK MARKET AND BANK FAILURE PREDICTION158 cited
  • 2009Financial Crises and Bank Failures: A Review of Prediction Methods54 cited
  • 2009Applying enhanced data mining approaches in predicting bank performance: A case of Taiwanese commercial banks51 cited
  • 2022Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis46 cited
  • 2011Financial ratings with scarce information: A neural network approach43 cited