Predicting criminal recidivism using neural networks

Prediction of criminal recidivism has been extensively studied in criminology with a variety of statistical models. This article proposes the use of neural network (NN) models to address the problem of splitting the population into two groups — non-recidivists and eventual recidivists — based on a s...

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Veröffentlicht in:	Socio-economic planning sciences 2000-12, Vol.34 (4), p.271-284
Hauptverfasser:	Palocsay, Susan W., Wang, Ping, Brookshire, Robert G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Criminology forecasting Mathematical analysis neural networks North Carolina Offenders prediction Probability Recidivism Regression analysis Social research Statistical models U.S.A
Online-Zugang:	Volltext
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