Research on a Machine Learning-Based Prediction Model for Tear Gas Smoke Dispersion

作者：Yipeng He, Xiaoping Cui, Ye Tian, Mengxing Zhang · 年份：2024 · DOI：10.1145/3727993.3728063 · 研究领域：Evaluation Methods in Various Fields、Fire Detection and Safety Systems、Diverse Approaches in Healthcare and Education Studies

In this study, a machine learning-based prediction model for tear smoke dispersion was constructed, incorporating Random Forest, Gradient Boosting Tree and LSTM networks. Detailed meteorological, geographical and topographical data were collected, and data cleaning and feature engineering were performed. The model was found to outperform traditional models in terms of prediction accuracy, computational efficiency and adaptability, and to show excellent performance in different time scales, spatial scales and environmental conditions.