摘要
文章简要介绍了神经网络的基本原理及其发展脉络,深入剖析了该技术在水土流失预测、土壤侵蚀评估以及水土保持措施优化等关键方面的具体应用情况。基于实际案例,展现了神经网络技术在水土保持实践中的显著成效,并对未来发展方向进行了探讨,可为神经网络技术在水土保持领域的进一步深入研究与广泛应用提供有益参考。
This study investigates the application of neural network technology in soil and water conservation practice.With the rapid development of artificial intelligence technology,neural networks have shown great potential as a powerful machine learning tool in soil and water conservation.This paper initially introduces the basic principles and evolution of neural networks,then elaborates their specific applications including soil erosion prediction,soil erosion assessment,and optimization of conservation measures.Case studies are presented to demonstrates the effectiveness of neural network technology in practical applications for soil and water conservation scenarios.Finally,it proposes the development of this technology in the future.and provides useful references for further research and application of neural network technology in soil and water conservation work.
作者
高文君
Gao Wenjun(Institute of Soil and Water Conservation Science,Shanxi Agricultural University,Taiyuan,Shanxi 030013,China)
出处
《山西水土保持科技》
2025年第2期7-8,12,共3页
Soil and Water Conservation Science and Technology in Shanxi
关键词
神经网络
水土保持
水土流失预测
土壤侵蚀评估
措施优化
Neural network
Soil and water conservation
Soil erosion prediction
Soil erosion assessment
Measure optimization
