Tax Fraud Detection through Neural Networks: An Application Using a Sample of Personal Income Taxpayers

The goal of the present research is to contribute to the detection of tax fraud concerning personal income tax returns (IRPF, in Spanish) filed in Spain, through the use of Machine Learning advanced predictive tools, by applying Multilayer Perceptron neural network (MLP) models. The possibilities sp...

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Bibliographic Details
Main Authors: César Pérez López, María Jesús Delgado Rodríguez, Sonia de Lucas Santos
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Future Internet
Subjects:
Online Access:https://www.mdpi.com/1999-5903/11/4/86