| 基于支持向量机的电力工程最优投标报价决策研究 |
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| 引用本文： | 张菁华,袁鑫,刘达. 基于支持向量机的电力工程最优投标报价决策研究[J]. 华中电力, 2006, 19(5): 30-32 |
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| 作者姓名： | 张菁华 袁鑫 刘达 |
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| 作者单位： | 1. 湖北省电力建设第二工程公司,湖北,武汉,430030
2. 华北电力大学工商管理学院,北京,102206 |
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| 摘 要： | 报价是承包企业在工程投标中关注的一个重要问题。投标策略和投标技巧关系到承包商的最终利益。利用支持向量机（SVM）对投标报价进行分析，为承包商投标最佳报价提供参考。算例表明相对其他方法，支持向量机有着最佳报价决策的能力。
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| 关 键 词： | 支持向量机 投标报价 决策 |
| 文章编号： | 1006-6519（2006）05-0030-03 |
| 收稿时间： | 2006-07-16 |
| 修稿时间： | 2006-07-16 |
Study on Power Engineering Optimum Bidding Decision-Making Based on SVM |
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| ZHANG Jing-hua,YUAN Xin,LIU Da. Study on Power Engineering Optimum Bidding Decision-Making Based on SVM[J]. Central China Electric Power, 2006, 19(5): 30-32 |
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| Authors: | ZHANG Jing-hua YUAN Xin LIU Da |
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| Affiliation: | 1 .No.2 Engineering Company of Hubei Province Power Construction, Wuhan 430030, China; 2. School of Business Administration, North China Electric Power University, Beijing 102206, China |
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| Abstract: | Bid decision-making is a critical activity for a contractor for its uncertainty and complexity. In the bidding procedure, how to select the factors from that have great affection on the bidding result to make the optimum decision is a key problem. The paper proposes a way based on the technique of support vector machines (SVM) to solve the problem.The simulation indicates that the SVM has much better generalization ability than the compared methods. |
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| Keywords: | SVM bid decision-making |
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