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Updated: Jul 19, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

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优化机器学习算法用于沿卡拉科伦高速公路,吉尔吉特巴尔蒂斯坦,巴基斯坦的山体滑坡易感性映射:对基线,贝叶斯式和元启发式超参数优化技术的比较研究

Farkhanda Abbas1, Feng Zhang1, Muhammad Ismail2

  • 1School of Computer Science, China University of Geosciences, Wuhan 430074, China.

Sensors (Basel, Switzerland)
|August 12, 2023
PubMed
概括

优化机器学习的超参数与metaheuristic和贝叶斯优化显著提高模型性能. 与传统方法相比,这些先进的技术提高了诸如山体滑坡易感测绘等任务的准确性.

关键词:
准确度 准确度 准确度 准确度 准确度地理空间数据是指地理空间数据.机器学习是机器学习.优化技术的优化技术.在实践中实施实际实施.可扩展性可扩展性.

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