• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Lin, Zhengying (Lin, Zhengying.) [1] (Scholars:林正英)

Indexed by:

EI Scopus

Abstract:

This paper proposed a product cost estimation method based on principal component analysis (PCA) and artificial neural network (ANN) for generalized modular design of machine tool. In the first stage, PCA was applied to identify the principal components of product modular features, which was conducted by analyzing the product cost components and their influencing factors driven by features of modules firstly, and then by calculating the eigenvalue and eigenvector of correlation coefficient matrix to reduce the dimension of the data, later by defining the first few principal components which contain most of the feature variables. In the second stage, the mapping from the restructured product modular feature to the product cost was established by general regression neural network (GRNN). At last, the simulation results demonstrate that the proposed algorithm is effective and speedy. © Springer-Verlag Berlin Heidelberg 2012.

Keyword:

Cost accounting Cost benefit analysis Cost estimating Data handling Eigenvalues and eigenfunctions Machine tools Neural networks Principal component analysis Product design Software engineering

Community:

  • [ 1 ] [Lin, Zhengying]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian Province, China

Reprint 's Address:

  • 林正英

Show more details

Related Keywords:

Related Article:

Source :

ISSN: 1867-5662

Year: 2012

Volume: 114

Page: 531-537

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:62/10011719
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1