[1]周 琛.基于Elman神经网络的轨道交通工程投标报价预测研究[J].高速铁路技术,2025,(02):94-98.[doi:10.12098/j.issn.1674-8247.2025.02.015]
　ZHOU Chen.Research on Bid Price Prediction for Rail Transit Projects Based on Elman Neural Network[J].HIGH SPEED RAILWAY TECHNOLOGY,2025,(02):94-98.[doi:10.12098/j.issn.1674-8247.2025.02.015]
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基于Elman神经网络的轨道交通工程投标报价预测研究()
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《高速铁路技术》[ISSN:1674-8247/CN:51-1730/U]

卷:
期数:
2025年02期
页码:
94-98
栏目:
研究创新
出版日期:
2025-04-20

文章信息/Info

Title:
Research on Bid Price Prediction for Rail Transit Projects Based on Elman Neural Network
文章编号:
1674-8247(2025)02-0094-05
作者:
周 琛
(中铁二院工程集团有限责任公司, 成都 610031)
Author(s):
ZHOU Chen
(China Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, China)
关键词:
轨道交通;  投标报价;  Elman神经网络
Keywords:
rail transit;  bid price;  Elman neural network
分类号:
TU723.2
DOI:
10.12098/j.issn.1674-8247.2025.02.015
文献标志码:
A
摘要:
企业参与轨道交通项目的投标时需要承担一定的成本,因此如何制定合理的报价策略以提高中标率,成为投标企业关注的核心问题。本文基于Elman神经网络构建轨道交通投标报价预测模型,并通过实证检验其有效性。研究结果表明,与BP神经网络相比,Elman神经网络模型应用于投标报价预测中的性能显著提升,MAE降低了13.98,RMSE减少了18,MAPE降低了0.84。研究成果可以为企业参与轨道交通工程投标报价提供一定参考。
Abstract:
Bidding for rail transit projects incurs certain costs for enterprises. Therefore, how bidding enterprises set their bid prices to increase their winning rates has become a core concern for all participants. This paper constructed a prediction model for rail transit bid prices based on the Elman neural network and empirically tested its effectiveness. The research results indicate that when the Elman neural network model is applied to bid price prediction, it exhibits improvements compared to the BP neural network, with reductions of 13.98 in MAE, 18 in RMSE, and 0.84 in MAPE. The research findings can provide a reference for enterprises participating in bid price setting for urban rail transit projects.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2024-07-16
作者简介:周琛(1989-),女,工程师。
更新日期/Last Update: 2025-04-20