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Quality & Quantity

, Volume 51, Issue 3, pp 1277–1278 | Cite as

Erratum to: Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory

  • Paolo Massimo BuscemaEmail author
  • Guido Maurelli
  • Francesco Saverio Mennini
  • Lara Gitto
  • Simone Russo
  • Matteo Ruggeri
  • Silvia Coretti
  • Americo Cicchetti
Erratum
  • 564 Downloads

1 Erratum to: Qual Quant DOI 10.1007/s11135-016-0329-y

In the original publication of the article, the Italian quotes starts from “La tecnica” and ends with “della conoscenza” under the heading “Methods” which has been included by mistake should be removed and replaced with the following English translation “The auto-encoder technology allows the optimization of the learning process. The purpose of this type of learning (autoencoder) is to measure the ability to understand the logic of a dataset. It is, in other words, a sort of “calibration mechanism” of knowledge”.

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  • Paolo Massimo Buscema
    • 1
    • 2
    Email author
  • Guido Maurelli
    • 1
  • Francesco Saverio Mennini
    • 3
  • Lara Gitto
    • 3
  • Simone Russo
    • 3
    • 4
  • Matteo Ruggeri
    • 5
  • Silvia Coretti
    • 5
  • Americo Cicchetti
    • 5
  1. 1.SEMEION Research Centre of Sciences of CommunicationRomeItaly
  2. 2.Department of Mathematical and Statistical SciencesUniversity of ColoradoDenverUSA
  3. 3.CEIS - Economic Evaluation and HTA (EEHTA), Faculty of EconomicsUniversity of Rome Tor VergataRomeItaly
  4. 4.Department of StatisticsUniversity of Rome La SapienzaRomeItaly
  5. 5.ALTEMSUniversità Cattolica del Sacro CuoreRomeItaly

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