Paper Title:
Cost Estimation of Post-Earthquake Rehabilitation of Industries Based on BP Neural Network
  Abstract

After the destructive earthquake, it is urgent that the damaged houses, infrastructure and industrial projects and other related equipment and facilities are to be rehabilitated and restored. How to carry out reconstruction investment plans of various sectors became a major concern to the government. To meet the needs of rapid recovery of production and life in affected areas, the method based on BP neural network is proposed to estimate the post-earthquake rehabilitation cost of industrial, agricultural and service projects. That method considers the macro-economic characteristics of every damaged area. It can provide some guidance for the government that need to make decisions of post-earthquake recovery and reconstruction plans.

  Info
Periodical
Advanced Materials Research (Volumes 217-218)
Edited by
Zhou Mark
Pages
1789-1792
DOI
10.4028/www.scientific.net/AMR.217-218.1789
Citation
Y. R. Wang, M. Y. Zhang, Y. Xia, "Cost Estimation of Post-Earthquake Rehabilitation of Industries Based on BP Neural Network", Advanced Materials Research, Vols. 217-218, pp. 1789-1792, 2011
Online since
March 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Min Chen, Jian Guo Chen, Xin Xin Cheng
Chapter 8: Frontiers of Construction Information
Abstract:Tender offer is very important to the construction enterprises in the bidding process. So how to identify the individual cost objectively and...
4652
Authors: Xing Ju Wang, Xiao Ming Xi, Gui Feng Gao, Jin Jie Chen
Chapter 1: Structural Engineering
Abstract:This study develops a blocked cost model of urban rail transit, which is applied to determine laying mode of urban rail transit. In addition,...
664