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Neural network credit-risk evaluation model based on back-propagation algorithm
9 references·1 citing·33 second hop
Neural network credit-risk evaluation model based on back-propagation algorithm (2003)Neural network credit-risk evaluation mod…Differentiating between good credits and bad credits using neuro-fuzzy systems (2002)Differentiating between good …Neural network credit scoring models (2000)Neural network credit scoring…Financial credit-risk evaluation with neural and neurofuzzy systems (1999)Financial credit-risk evaluat…A hybrid intelligent system for predicting bank holding structures (1998)A hybrid intelligent system f…A neural network for classifying the financial health of a firm (1995)A neural network for classify…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Cre…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Design of adaptive Elman networks for credit risk assessment (2020)Design of adaptive Elman netw…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Feature selection in bankruptcy prediction (2008)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Forecasting with neural networks (1993)The adaptive neuro-fuzzy model for forecasting the domestic debt (2008)Fuzzy adaptive decision-making for boundedly rational traders in speculative stock markets (2009)Industry 4.0 Transformation: Analysing the Impact of Artificial Intelligence on the Banking Sector through Bibliometric Trends (2024)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)Multiple classifier application to credit risk assessment (2009)Predicting bankruptcy using neural networks and other classification methods: The influence of variable selection techniques on model accuracy (2010)Developing an early warning system to predict currency crises (2014)Information Choice and Utilization in an Experiment on Default Prediction (1980)A fuzzy neural network for assessing the risk of fraudulent financial reporting (2003)Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Forecasting exchange rates using general regression neural networks (2000)Intellectual capital and corporate performance in Iranian pharmaceutical industry (2012)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)
this work references cited by second hop

References

  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 2000Neural network credit scoring models1,032 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems252 cited
  • 1999Financial credit-risk evaluation with neural and neurofuzzy systems236 cited
  • 1995A neural network for classifying the financial health of a firm191 cited
  • 1992Using Neural Networks for Credit Scoring189 cited
  • 1998A hybrid intelligent system for predicting bank holding structures72 cited

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  • 2020Design of adaptive Elman networks for credit risk assessment12 cited

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