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Nveiling The Impact of Cosmic Rays and Solar Activities On Climate Through Optimized Boost Algorithms by davo is a document available to read on EtoBox.
This study investigates the influence of Cosmic Rays (CR) and Solar Sunspot Number (SSN) on climate anomaly predictions using advanced machine learning algorithms, specifically XGBoost and CatBoost, optimized by Atom Search Optimization (ASO) and Nuclear Reaction Optimization (NRO). The analysis of data from 1965 to 2020 demonstrates that integrating SSN and CR data significantly enhances the accuracy of climate models for parameters such as total precipitation anomaly, total cloud cover anomaly, and sea su
- Author
- davo
- Language
- EN