The Application of Convolutional Neural Networks in Bidding Price Estimation Decision

被引：0

作者：

Zhou Ying ^{[1
,2
]}

机构：

[1] Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China

[2] CCCC First Harbor Engn Co Ltd, Tianjin 300461, Peoples R China

来源：

PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年

关键词：

deep learning; convolutional neural networks; bidding; time series; quote-price decision;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the daily bidding activities, the bid price is estimated by using qualitative and quantitative predicting methods, which are usually poor in accuracy and efficiency. In this paper, we introduce a method based on the Convolutional Neural Networks (CNNs) for the bid price estimation decision. We collect the historical bidding price data from similar projects and then form a time series according to the order of the project start time to extract deep CNN features, and tinally, these deep features are used to make bidding decision. We demonstrate that the learned deep models will help the decision makers to get the trend of project quotation and improve the bid winning probability and competitiveness of the bidder.

引用

页码：1572 / 1576

页数：5