University of Twente Student Theses
Chimney fire prediction in IJsselland
Kasteren, L.N. van (2024) Chimney fire prediction in IJsselland.
|
PDF
1MB |
| Abstract: | In this paper, we develop a combined machine learning and statistical modelling process to predict chimney fire risk in IJsselland. We first use random forests and permutation importance techniques to find the explanatory variables. Secondly, we design a Poisson point process model and use logistic regression estimation to estimate the parameters. Afterwards, we verify the results using residuals. In all phases, we compare the results to the results from the Twente region, which is very similar to IJsselland. All the modelling is done on data collected by the Twente and IJsselland Fire Brigade. |
| Item Type: | Essay (Bachelor) |
| Clients: | Fire Department Twente, Enschede, Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 31 mathematics, 54 computer science |
| Programme: | Applied Mathematics BSc (56965) |
| Link to this item: | https://purl.utwente.nl/essays/98250 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page