Research Article
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Article title
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Abstract
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Keywords
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1. Introduction
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2. Materials and Methods
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2.1. Description of Artificial Neural Networks
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Net Input Signal
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Activation Functions
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The Learning Algorithm
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Feed-forward
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Back-propagation of Error
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Adjusting the Associated Weights
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Limitations of ANNs
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3. Results
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3.1. Predicting the South African Currency Crises
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3.1.1. In-Sample Probability Prediction of Currency Crisis, 1993/02 – 2004/12
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3.1.2. Out-Of-Sample Prediction Currency Crisis, 2005/01 – 2017/03
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4. The Artificial Neural Network Model’s Performance Evaluation
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5. Conclusion
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Author contributions
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Use of AI tools declaration
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Conflict of interest
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Acknowledgments
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References
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Appendix
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