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Artificial Neural Network Model for Predicting Exchange Rate in Ghana: A Case of GHS/USD

  • Acquah J
  • Emmanuel Nti A
  • Ampofi I
  • et al.
American Journal of Mathematical and Computer Modelling (2022) 7(1) 1
DOI: 10.11648/j.ajmcm.20220701.11
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Abstract

… of 7% and a prediction accuracy (R2) of … to predict the Ghana Cedi to Great Britain Pound rate with MAE of 0.31016, RMSE of 0.38542, PI of 0.14855, MAPE of 5.62% and a prediction …

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APA

Acquah, J., Emmanuel Nti, A., Ampofi, I., & Akorli, D. (2022). Artificial Neural Network Model for Predicting Exchange Rate in Ghana: A Case of GHS/USD. American Journal of Mathematical and Computer Modelling, 7(1), 1. https://doi.org/10.11648/j.ajmcm.20220701.11

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