Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
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...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Statistical Sciences
2021
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!