Application of the Fuzzy ARTMAP neural network architecture to bank failure predictions

Luis Miguel; Elena Revilla; Jaimee-Ian Rodriguez; Jesús Cano

doi:10.1007/3-540-56798-4_227

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Application of the Fuzzy ARTMAP neural network architecture to bank failure predictions

Luis Miguel Elena Revilla Jaimee-Ian Rodriguez Jesús Cano

Year: 1993 Lecture notes in computer science Pages: 720-725 Publisher: Springer Science+Business Media

DOI: 10.1007/3-540-56798-4_227

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Keywords:

Adaptive resonance theory Computer science Artificial neural network Reliability (semiconductor) Solvency Artificial intelligence Fuzzy logic Data set Machine learning Set (abstract data type) Fuzzy set Test data Sample (material) Data mining Finance

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Financial Distress and Bankruptcy Prediction

Social Sciences → Business, Management and Accounting → Accounting

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Application of the Fuzzy ARTMAP neural network architecture to bank failure predictions

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