Title :
Study on mark-up rate decision model based on RBF neural network
Author :
Yang, H.Y. ; Wang, L.H. ; Meng, F.R.
Author_Institution :
Dept. of Eng. & Technol., Northeast Forestry Univ., Harbin, China
Abstract :
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 markup rate decision in bidding and pricing with MATLAB neural network toolbox.
Keywords :
decision support systems; pricing; radial basis function networks; MATLAB neural network toolbox; RBF neural network; bidding decision; mark-up rate decision model; pricing decision; radial basis functions; Artificial neural networks; Biological neural networks; Costs; Environmental management; Forestry; Fuzzy neural networks; Industrial relations; Mathematical model; Neural networks; Pricing; RBF neural network; bidding and pricing decision; mark-up rate;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344272
