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Quality & Quantity
Published in: Quality & Quantity 3/2017

28-06-2016 | Erratum

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

Authors: Paolo Massimo Buscema, Guido Maurelli, Francesco Saverio Mennini, Lara Gitto, Simone Russo, Matteo Ruggeri, Silvia Coretti, Americo Cicchetti

Published in: Quality & Quantity | Issue 3/2017

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Excerpt

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”. …
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Metadata
Title
Erratum to: Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory
Authors
Paolo Massimo Buscema
Guido Maurelli
Francesco Saverio Mennini
Lara Gitto
Simone Russo
Matteo Ruggeri
Silvia Coretti
Americo Cicchetti
Publication date
28-06-2016
Publisher
Springer Netherlands
Published in
Quality & Quantity / Issue 3/2017
Print ISSN: 0033-5177
Electronic ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-016-0359-5

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