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Predicting social unrest events in South Africa using LSTM neural networks
This thesis demonstrates an approach to predict the count of social unrest events in South Africa. A comparison is made between traditional forecasting approaches and neural networks; the traditional forecast method selected being the Autoregressive Integrated Moving Average (ARIMA model). The type...
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| Format: | Thesis |
| Language: | English |
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Department of Statistical Sciences
2021
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