Study on Mark-up Rate Decision Model Based on RBF Neural Network

被引：0

作者：

Yang, H. Y. ^{[1
]}

Wang, L. H. ^{[1
]}

Meng, F. R. ^{[2
]}

机构：

[1] Northeast Forestry Univ, Dept Engn & Technol, Harbin, Peoples R China

[2] Univ New Brunswick, Fac Forestry & Environm Management, Fredericton, NB E3C 2G6, Canada

来源：

2009 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS | 2009年

关键词：

bidding and pricing decision; mark-up rate; RBF neural network;

D O I：

10.1109/ICIEEM.2009.5344272

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Aiming at the characteristics of mark-up decision, 18 main factors which influenced the mark-up rate were defined based on previous experiences and research results to build index system of the mark-up rate decision model. Then RBF neural network model was used for mark-up rate decision in bidding and pricing with MATLAB neural network toolbox.

引用

页码：1031 / +

页数：2

共 10 条

[1] OPTIMUM MARK-UP FOR BIDDING - A PREFERENCE-UNCERTAINTY TRADE OFF APPROACH [J].

AHMAD, I ;

MINKARAH, IA .

CIVIL ENGINEERING SYSTEMS, 1987, 4 (04) :170-174

[2] Utility-theory model for markup decisions [J].

Dozzi, SP ;

AbouRizk, SM ;

Schroeder, SL .

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 1996, 122 (02) :119-124

[3] A COMPETITIVE-BIDDING STRATEGY [J].

FRIEDMAN, L .

OPERATIONS RESEARCH, 1956, 4 (01) :104-112

[4]

Han Min, 2003, Journal of Systems Engineering, V18, P348

[5]

Li H., 1999, Construction Management and Economics, V17, P169, DOI [10.1080/014461999371664, DOI 10.1080/014461999371664]

[6]

Odusote O.O., 1992, Construction Management Economics, P137

[7]

[王雪青 Wang Xueqing], 2007, [土木工程学报, China Civil Engineering Journal], V40, P93

[8]

YANG LR, 2000, THESIS HUAZHONG U SC

[9]

ZHAO B, 2003, WATER CONSERVANCY HY, V34, P42

[10]

ZHOU KL, 2005, NEURAL NETWORK ITS M, P1

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