The Bidding Tactics Decision-Making for BOT Projects Based on Multiple-Dimension Conjugate Grades Wavelet Network

Author

Yu, Yong-he ; Ma, Wei-min ; Li, Su-yan

Author_Institution

Sch. of Econ. & Manage., Tongji Univ., Shanghai

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

368

Lastpage

373

Abstract

After analyzing the bidding tactics decision-making index system for BOT projects, the bidding tactics decision-making method is presented by wavelet network learning algorithm based on conjugate gradient method, the decision-making model is set up. The paper bring forward the problem solving method to the above model by optimizing and select the hidden units of wavelet network. An instance is given in detail, which indicates that the model is reliable and applicable. The method can provide theoretical foundation and technical support for BOT projects when it is confronted the bidding tactics decision-making problem.

Keywords

conjugate gradient methods; decision making; learning (artificial intelligence); problem solving; wavelet transforms; BOT projects; bidding tactics decision-making index system; conjugate gradient method; multiple-dimension conjugate grades wavelet network; problem solving method; wavelet network learning algorithm; Computer network management; Computer networks; Conference management; Decision making; Electronic mail; Gradient methods; Neural networks; Project management; Technology management; Wavelet analysis; BOT projects; conjugate gradient method; decision-making model; the bidding tactics; wavelet network;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.583

Filename

4667163