A hybrid approach based on arima and artificial neural networks for crime series forecasting
Crime forecasting is an interesting application area of research with ARIMA and ANN models offer a good technique for predicting time series. Time series data often contain both linear and nonlinear patterns. Therefore, neither ARIMA nor neural networks can be adequate in modeling and predicting tim...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/50712/25/MohdSuhaimiMohdZakiMFC2014.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|