Pre-production forecasting of movie revenues with a dynamic artificial neural network

@article{Ghiassi2015PreproductionFO,
  title={Pre-production forecasting of movie revenues with a dynamic artificial neural network},
  author={M. Ghiassi and D. Lio and Brian Moon},
  journal={Expert Syst. Appl.},
  year={2015},
  volume={42},
  pages={3176-3193}
}
  • M. Ghiassi, D. Lio, Brian Moon
  • Published 2015
  • Computer Science
  • Expert Syst. Appl.
  • We show DAN2 to be an effective tool for forecasting movie revenues. [...] Key Result The majority of these films failed to recoup their production costs via gross domestic box office revenues. Existing decision support systems for pre-production analysis and green-lighting decisions lack sufficient accuracy to meaningfully assist decision makers in the film industry.Established models focus primarily upon post-release and post-production forecasts. These models often rely upon opening weekend data and are…Expand Abstract

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