A hybrid approach based on arima and artificial neural networks for crime series forecasting

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...

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書目詳細資料
主要作者:	Mohd. Zaki, Mohd. Suhaimi
格式:	Thesis
語言:	English
出版:	2014
主題:	QA75 Electronic computers Computer science
在線閱讀:	http://eprints.utm.my/id/eprint/50712/25/MohdSuhaimiMohdZakiMFC2014.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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