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HYBRID NEURAL INTELLIGENT SYSTEM TO PREDICT BUSINESS FAILURE IN SMALL-TO-MEDIUM-SIZE ENTERPRISES
11 references·4 citing·40 second hop
HYBRID NEURAL INTELLIGENT SYSTEM TO PREDICT BUSINESS FAILURE IN SMALL-TO-MEDIUM-SIZE ENTERPRISES (2011)HYBRID NEURAL INTELLIGENT SYSTEM TO PREDI…Predicting business failure using multiple case-based reasoning combined with support vector machine (2009)Predicting business failure u…A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION (2009)A NEURAL NETWORK MODEL FOR CR…Ranking-order case-based reasoning for financial distress prediction (2008)Ranking-order case-based reas…Gaussian case-based reasoning for business failure prediction with empirical data in China (2008)Gaussian case-based reasoning…Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers (2007)Listed companies’ financial d…Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors (2007)Financial distress prediction…Financial distress early warning based on group decision making (2007)Financial distress early warn…Data mining method for listed companies’ financial distress prediction (2006)Data mining method for listed…Resource Scheduling Using Neural Dynamics Model of Adeli and Park (2001)Resource Scheduling Using Neu…Scheduling/Cost Optimization and Neural Dynamics Model for Construction (1997)Scheduling/Cost Optimization …Availability and the Generation of Hypotheses in Analytical Review (1985)Availability and the Generati…Explanatory Factors of Business Failure: Literature Review and Global Trends (2021)Explanatory Factors of Busine…Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction (2013)Concept Drift-Oriented Adapti…Forecasting business failure using two‐stage ensemble of multivariate discriminant analysis and logistic regression (2012)Forecasting business failure …Predicting Business Failure Using an RSF‐based Case‐Based Reasoning Ensemble Forecasting Method (2011)Predicting Business Failure U…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry (2011)The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory (2011)Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance (2021)Fuzzy sets (1965)Fuzzy sets (1996)Majority voting combination of multiple case-based reasoning for financial distress prediction (2008)A novel purity-based k nearest neighbors imputation method and its application in financial distress prediction (2019)Resource-Constrained Project Scheduling with Time-Resource Tradeoffs: The Nonpreemptive Case (1982)Project scheduling with resource constraints: A branch and bound approach (1987)A Branch-and-Bound Procedure for the Multiple Resource-Constrained Project Scheduling Problem (1992)Model-based dynamic resource management for construction projects (2005)Optimizing Resource Leveling in Construction Projects (2009)DETECTION OF DRIVING FATIGUE BY USING NONCONTACT EMG AND ECG SIGNALS MEASUREMENT SYSTEM (2013)Financial Ratios As Predictors of Failure (1966)The use of hybrid manifold learning and support vector machines in the prediction of business failure (2010)Ranking-based MCDM models in financial management applications: analysis and emerging challenges (2020)The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation (2020)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Determining of stock investments with grey relational analysis (2011)MANAGING HESITANT INFORMATION IN GDM PROBLEMS UNDER FUZZY AND MULTIPLICATIVE PREFERENCE RELATIONS (2013)Consistency of the fused intuitionistic fuzzy preference relation in group intuitionistic fuzzy analytic hierarchy process (2015)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods (2020)The philosophy of auditing. (1964)Variants of uncertainty (1982)The audit review process: A characterization from the persuasion perspective (1997)An analysis of experience effects on audit committee members' oversight judgments (1998)Predecisional Distortion of Evidence as a Consequence of Real-Time Audit Review (2002)Principles of Categorization (2002)A review of methods and algorithms for optimizing construction scheduling (2013)A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units (2015)Novel feature selection methods to financial distress prediction (2013)Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets (2019)
this work references cited by second hop

References

  • 1985Availability and the Generation of Hypotheses in Analytical Review262 cited
  • 1997Scheduling/Cost Optimization and Neural Dynamics Model for Construction224 cited
  • 2006Data mining method for listed companies’ financial distress prediction166 cited
  • 2001Resource Scheduling Using Neural Dynamics Model of Adeli and Park150 cited
  • 2008Ranking-order case-based reasoning for financial distress prediction141 cited
  • 2007Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers117 cited
  • 2007Financial distress early warning based on group decision making98 cited
  • 2008Gaussian case-based reasoning for business failure prediction with empirical data in China97 cited
  • 2007Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors91 cited
  • 2009Predicting business failure using multiple case-based reasoning combined with support vector machine88 cited
  • 2009A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION78 cited

Cited by

  • 2013Concept Drift-Oriented Adaptive and Dynamic Support Vector Machine Ensemble With Time Window in Corporate Financial Risk Prediction63 cited
  • 2011Predicting Business Failure Using an RSF‐based Case‐Based Reasoning Ensemble Forecasting Method43 cited
  • 2012

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Forecasting business failure using two‐stage ensemble of multivariate discriminant analysis and logistic regression
30 cited
  • 2021Explanatory Factors of Business Failure: Literature Review and Global Trends25 cited