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基于BP神经网络的水利工程投标决策模型及应用 被引量:14

Water Conservancy Projects Bidding Decision Model and Its Appliction Based on BP Neural Network
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摘要 针对采用常用的投标决策方法未能有效地解决影响因素、影响因素与决策结果之间的复杂非线性关系问题,基于《水利水电工程标准施工招标文件》(2009年版)合同通用条款,结合我国当前水利工程建筑市场的竞争情况,构建了基于BP神经网络的水利工程投标决策模型,并将其应用于工程实例中。结果表明,该模型实用、可行,能有效应用于承包商的投标决策中。 It has great significance to improve "wind power forecasting system" by verification and evaluation objec- tively. Based on the operation data from July 2011 to April 2012 in Jiugong mountain wind farm and Wulandobson wind farm in Xinjiang, we make verification and evaluation on various short-term and ultra short-term forecasting methods of the system in terms of related technology criterion. The results show that the system has use value in the south and north areas; wind speed data should be supplemented and revised by combining with the climate of the wind farm in different re gions; at the same time, corrected numerical weather forecast data and optimal prediction model can improve the accuracy and effect of the system.
出处 《水电能源科学》 北大核心 2013年第3期131-134,134,共4页 Water Resources and Power
关键词 水利工程 投标决策 评价指标 BP神经网络 wind power wind speed short-term forecast ultra short-term forecast verification and evaluation
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