Title :
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
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.50
