High-Precision Debris Flow Scale Prediction Model Based on CIHHO Algorithm Combined With Multilayer Perceptron Neural Network

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 rel...

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Bibliographic Details
Main Authors: Yue Qiang, Xinlong Xu, Li Li, Siyu Liang, Xi Wang, Cheng Chen, Xinyi Tan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Debris flow scale
chaotic mapping
BPNN
improved Harris Hawk optimization algorithm
correlation analysis
Online Access:https://ieeexplore.ieee.org/document/10701485/

Internet

https://ieeexplore.ieee.org/document/10701485/

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