Inflation Forecasting in Sweden using Single Hidden Layer Feedforward Artificial Neural Networks
Inflation affects many economic processes, and it is therefor crucial for economic agents to have reliable forecasts of it. In this thesis, single hidden layer feedforward artificial neural networks were used to predict the year-on-year consumer price index inflation rate in Sweden for the period 20...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
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Stockholms universitet, Nationalekonomiska institutionen
2017
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-141675 |