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A tuning method for the architecture of neural network models incorporating GAM and GA as applied to bankruptcy prediction
16 references·4 citing·26 second hop
A tuning method for the architecture of neural network models incorporating GAM and GA as applied to bankruptcy prediction (2011)A tuning method for the architecture of n…Support vector machines for default prediction of SMEs based on technology credit (2009)Support vector machines for d…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Data Mining Techniques: For M…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem (2004)A threshold-varying artificia…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)The integrated methodology of…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using c…Neural networks and genetic algorithms for bankruptcy predictions (1996)Neural networks and genetic a…Hybrid neural network models for bankruptcy predictions (1996)Hybrid neural network models …Effectiveness of neural network types for prediction of business failure (1995)Effectiveness of neural netwo…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…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…A neural network model for bankruptcy prediction (1990)A neural network model for ba…An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression (2021)An Optimal Model of Financial…MODELING CREDIT APPROVAL DATA WITH NEURAL NETWORKS: AN EXPERIMENTAL INVESTIGATION AND OPTIMIZATION (2017)MODELING CREDIT APPROVAL DATA…Methodological approach of construction business failure prediction studies: a review (2016)Methodological approach of co…A Grey System Theory‐Based Default Prediction Model for Construction Firms (2014)A Grey System Theory‐Based De…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)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)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)Positive Accounting Theory (1985)Designing a neural network for forecasting financial and economic time series (1996)Application of data mining techniques in customer relationship management: A literature review and classification (2008)A comparison of machine learning techniques for customer churn prediction (2015)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)
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References

  • 2004Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management1,226 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 1990A neural network model for bankruptcy prediction853 cited
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  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited
  • 1997Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis273 cited
  • 1996Hybrid neural network models for bankruptcy predictions257 cited
  • 2009Support vector machines for default prediction of SMEs based on technology credit221 cited
  • 1995Effectiveness of neural network types for prediction of business failure

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202 cited
  • 1996Neural networks and genetic algorithms for bankruptcy predictions198 cited
  • 2004A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem150 cited
  • Cited by

    • 2021An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression47 cited
    • 2017MODELING CREDIT APPROVAL DATA WITH NEURAL NETWORKS: AN EXPERIMENTAL INVESTIGATION AND OPTIMIZATION37 cited
    • 2016Methodological approach of construction business failure prediction studies: a review31 cited
    • 2014A Grey System Theory‐Based Default Prediction Model for Construction Firms25 cited