High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network
This study focuses on improving the precision and global search capabilities of the Harris Hawk Optimization algorithm when dealing with debris flow disasters.The enhanced algorithm, called Cubic map Improved Harris Hawk Optimization (CIHHO), incorporates a BP neural network and integrates Grey relational analysis and Spearman correlation analysis