Hybrid particle swarm optimization feature selection for crime classification

In this study, we propose a hybrid crime classification model by combining artificial neural network (ANN), particle swarm optimization (PSO) and grey relation analysis (GRA). The objective of this study is to identify the significant features of the specific crimes and to classify the crimes into t...

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Bibliographic Details
Main Authors: Anuar, Syahid, Selamat, Ali, Sallehuddin, Roselina
Format: Article
Published: Springer 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/55621/
http://dx.doi.org/10.1007/978-3-319-16211-9_11
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Institution: Universiti Teknologi Malaysia