ML-QuantSubscribe

SSRNML & AI Methods

Hybrid Machine Learning for Armor Prediction

The article proposes a data-driven framework using a hybrid model of Support Vector Machine and Deep Neural Network for predicting the ballistic performance of composite armor, demonstrating high accuracy and generalizability.

Featured in No. 55 on 3 Jul 2024 · 2 days after release

Released
1 Jul 2024
First featured
No. 55 · 3 Jul 2024
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4881827

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page