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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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2015
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| 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 |