A New Product Development Cost Estimation Method Based on the Optimal Weight Combination

Author

Hu, Xiaodong ; Yang, Meiying ; Cheng, Jingqiang ; Chen, Liangyou

Author_Institution

Sch. of Econ. & Manage., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China

Volume

2

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

329

Lastpage

333

Abstract

A new product development cost estimation method is proposed on the base of grey model and BP neural network model to improve the precision of estimation result in this paper. Although grey model and BP neural network model are good methods for the new product development cost estimation, there are inevitably limitations for any single model. The paper uses optimal weight combination method to integrate the results of the grey model and BP neural network model.This integration makes a better result than any single model with the minimum error square sum and improves the accuracy of estimation.

Keywords

backpropagation; costing; grey systems; neural nets; product development; BP neural network model; cost estimation method; grey model; minimum error square sum; new product development; optimal weight combination; Aircraft propulsion; Computer network management; Computer networks; Conference management; Cost function; Databases; Differential equations; Neural networks; Product development; Weapons; BP neural network; Cost estimation; Optimal weight combination;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.50

Filename

5366990