Data preprocessing for artificial neural network applications in prioritizing railroad projects – a practical experience in Taiwan

Data preprocessing for artificial neural network applications in prioritizing railroad projects – a practical experience in Taiwan

Financial constraints necessitate the tradeoff among proposed railroad projects, so that the project priorities for implementation and budget allocation need to be determined by the ranking mechanisms in the government. At present, the Taiwan central government prioritizes funding allocations primar...

Full description

Bibliographic Details
Main Authors: Min-Yuan Cheng, Cheng-Wei Su, Ming-Hsiu Tsai, Kuo-Shian Lin
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2012-09-01
Series:Journal of Civil Engineering and Management
Subjects:
project ranking
data preprocess
analytic hierarchy process
artificial neural networks
data preprocessing matrix
railroad
Online Access:http://journals.vgtu.lt/index.php/JCEM/article/view/4472

Similar Items

Similar Items