Published
2025-09-29
Section
Articles
How to Cite
EWM-PSOBP神经网络在抽水蓄能电站进场公路方案评价中的应用
张 望舒
长江勘测规划设计研究有限责任公司
陈 培
长江勘测规划设计研究有限责任公司
DOI: https://doi.org/10.59429/slgcsj.v7i3.11512
Keywords: 抽水蓄能电站；进场公路；熵权法；数据增强；PSO-BP 神经网络
Abstract
抽水蓄能电站进场公路对于前期工程建设和后期运行维护工作的顺利开展具有关键作用。本文根据抽水蓄能电站的工程布置特点，耦合技术、经济与环境因素，构建进场公路设计方案的评价指标体系，并提出了一种基于熵权法（EWM）和粒子群优化 - 反向传播神经网络（PSO-BP）模型的评价方法，改进了 EWM 法在数据样本和数据质量上的依赖性。以贵州省凤冈贾壳山抽水蓄能电站进场公路为例，应用该模型对进场公路方案进行了比选。结果表明，EWM-PSOBP 神经网络模型能够准确、可靠地对进场公路设计方案进行评估，从而有效提升了方案设计的效率和质量。
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