# A Novel Algorithm to Classify Avalanche Types: Combining CatBoost, Genetic Algorithm, and SHAP for Enhanced Prediction and Interpretability

_Computer Modeling in Engineering & Sciences · Xing Zhu, Ruotong Yuan, Xiaodi Fu et al. · 2026_

Canonical: https://diginpl.com/books/paper-cmes-2026-087362
Last updated: 2026-11-04

## Quick facts

- **Author:** Xing Zhu; Ruotong Yuan; Xiaodi Fu; Yuanfa Ji ([Crossref](https://doi.org/10.32604/cmes.2026.087362))
- **Published:** 2026 ([Crossref](https://doi.org/10.32604/cmes.2026.087362))
- **Publisher:** Tech Science Press ([Crossref](https://doi.org/10.32604/cmes.2026.087362))
- **Journal:** Computer Modeling in Engineering & Sciences ([Crossref](https://doi.org/10.32604/cmes.2026.087362))
- **DOI:** 10.32604/cmes.2026.087362 ([Crossref](https://doi.org/10.32604/cmes.2026.087362))

## Questions

**Who wrote A Novel Algorithm to Classify Avalanche Types: Combining CatBoost, Genetic Algorithm, and SHAP for Enhanced Prediction and Interpretability?**  
A Novel Algorithm to Classify Avalanche Types: Combining CatBoost, Genetic Algorithm, and SHAP for Enhanced Prediction and Interpretability was written by Xing Zhu, Ruotong Yuan, Xiaodi Fu, Yuanfa Ji.

**When was A Novel Algorithm to Classify Avalanche Types: Combining CatBoost, Genetic Algorithm, and SHAP for Enhanced Prediction and Interpretability first published?**  
A Novel Algorithm to Classify Avalanche Types: Combining CatBoost, Genetic Algorithm, and SHAP for Enhanced Prediction and Interpretability was first published in 2026.

## Sources

- [Publisher record (DOI, via Crossref)](https://doi.org/10.32604/cmes.2026.087362)

## Licence and attribution

Open-access publication. Read it free at the publisher: https://doi.org/10.32604/cmes.2026.087362.

## Cite this page

"A Novel Algorithm to Classify Avalanche Types: Combining CatBoost, Genetic Algorithm, and SHAP for Enhanced Prediction and Interpretability". DigiNepal. Last updated 4 November 2026. https://diginpl.com/books/paper-cmes-2026-087362. Retrieved 6 November 2026.