Data of SSA-ELM Prediction Model for Roadside Support Stress in No-Pillar Mining

Aiming at the problem that the complex stress evolution of roadside walls in no-pillar coal mining makes it difficult to accurately judge the wall state, a mining-induced stress response database was constructed through FLAC3D numerical simulation, and an intelligent stress prediction model based on the Sparrow Search Algorithm optimized Extreme Learning Machine (SSA-ELM) was established. The parameters used for model input in the database include: mining distance, wall width, burial depth, roadway width, position, wall height, strike length, and dip length.