Forecasting business failure in highly imbalanced distribution based on delay line reservoir

  1. Rodan, A.
  2. Castillo, P.A.
  3. Faris, H.
  4. Al-Zoubi, A.M.
  5. Mora, A.M.
  6. Jawazneh, H.
Konferenzberichte:
ESANN 2018 - Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

ISBN: 9782875870476

Datum der Publikation: 2018

Seiten: 431-436

Art: Konferenz-Beitrag

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Datenquelle: Scopus