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Updated: Jul 26, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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神经元元启发算法的一种新的综合方法,用于预测和评估山体滑坡易感性映射

Hossein Moayedi1,2, Atefeh Ahmadi Dehrashid3,4

  • 1Institute of Research and Development, Duy Tan University, Da Nang, Vietnam. Hosseinmoayedi@duytan.edu.vn.

Environmental science and pollution research international
|June 19, 2023
PubMed
概括

这项研究优化了人工神经网络 (ANN),使用回溯搜索 (BSA) 和优化 (COA) 算法来绘制山体滑坡易感度图. BSA-ANN模型在预测山体滑坡风险方面表现出卓越的表现,提高了危险评估的准确性.

关键词:
追溯搜索算法 (BSA) 是一个回溯搜索算法.子优化算法 (COA) 是一个算法.容易发生山体滑坡的易感性优化算法优化算法风险管理 风险管理

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