C4.5: programs for machine learning
C4.5: programs for machine learning
System Identification through Simulated Evolution: A Machine Learning Approach to Modeling
System Identification through Simulated Evolution: A Machine Learning Approach to Modeling
Soft computing system for bank performance prediction
Applied Soft Computing
Software reliability prediction by soft computing techniques
Journal of Systems and Software
An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
An integrative model with subject weight based on neural network learning for bankruptcy prediction
Expert Systems with Applications: An International Journal
Earnings management prediction: A pilot study of combining neural networks and decision trees
Expert Systems with Applications: An International Journal
Majority voting combination of multiple case-based reasoning for financial distress prediction
Expert Systems with Applications: An International Journal
Failure prediction of dotcom companies using hybrid intelligent techniques
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
International Journal of Data Analysis Techniques and Strategies
Support vector machine based multiagent ensemble learning for credit risk evaluation
Expert Systems with Applications: An International Journal
Failure prediction of dotcom companies using neural network-genetic programming hybrids
Information Sciences: an International Journal
International Journal of Bio-Inspired Computation
Financial ratings with scarce information: A neural network approach
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Evaluation of banks insolvency using artificial neural networks
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
PISA: A framework for multiagent classification using argumentation
Data & Knowledge Engineering
Multi-agent based classification using argumentation from experience
Autonomous Agents and Multi-Agent Systems
Hybrid intelligent systems for predicting software reliability
Applied Soft Computing
Rule extraction from DEWNN to solve classification and regression problems
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
Particle swarm optimization trained auto associative neural networks used as single class classifier
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
A Comparison of Various Artificial Intelligence Methods in the Prediction of Bank Failures
Computational Economics
International Journal of Information Systems and Social Change
Forecasting Financial Failure of Firms via Genetic Algorithms
Computational Economics
International Journal of Hybrid Intelligent Systems
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This paper compares the accuracy of parametric and nonparametric classifiers on the problem of predicting Bankruptcy. Among the single classifiers, an artificial neural network is found to provide the best results. Two ways of combining classifiers are considered and an additive aggregation method is proposed. We show that both ways of combining produce classifiers whose forecasts are more accurate than the ones obtained with any single model. We suggest that an optimal system for risk rating should combine two or more different techniques.