title:
 
Data Mining on Prices of Highway Project Main Material Based on WEB
publication:
 
ISKE-2007 Proceedings
part of series:
  Advances in Intelligent Systems Research
ISBN:
  978-90-78677-04-8
ISSN:
  [print=1875-6891 / online=1875-6883]
DOI:
  doi:10.2991/iske.2007.47 (how to use a DOI)
author(s):
 
Jie He, Yikai Chen, Wen Hang, Zhiguo Qi
corresponding author:
 
Jie He
publication date:
 
October 2007
keywords:
 
Highway project main material; Data mining; WEB; BP neural network
abstract:
 
The management of main material prices of provincial highway project quota has problems of lag and blindness. Framework of provincial highway project quota data MIS and main material price data warehouse were established based on WEB firstly. Then concrete processes of provincial highway project main material prices were brought forward based on BP neural network algorithmic. After that standard BP algorithmic, additional momentum modify BP network algorithmic, self-adaptive study speed improved BP network algorithmic were compared in predicting highway project main prices. The result indicated that it is feasible to predict highway main material prices using BP NN, and using self-adaptive study speed improved BP network algorithmic is the relatively best one.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
full text: