A hybrid model based on CNN-LSTM for assessing the risk of increasing claims in insurance companies
This article proposes a hybrid model to assist insurance companies accurately assess the risk of increasing claims for their premiums. The model integrates long short-term memory (LSTM) networks and convolutional neural networks (CNN) to analyze historical claim data and identify emerging risk trend...
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| Główni autorzy: | , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
PeerJ Inc.
2025-04-01
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| Seria: | PeerJ Computer Science |
| Hasła przedmiotowe: | |
| Dostęp online: | https://peerj.com/articles/cs-2830.pdf |
| Etykiety: |
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