Research on Project Duration Prediction Based on Artificial Neural Network
Author:
Affiliation:
1. State Grid Jiangsu Electric Power Co., Ltd.,Nanjing,China
2. State Grid Jiangsu Electric Power Engineering Consulting Co., Ltd.,Nanjing,China
Funder
State Grid Jiangsu Electric Power
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9845798/9845816/09845997.pdf?arnumber=9845997
Reference20 articles.
1. Cash flow analysis of construction projects [C];liu;Canadian Society of Civil Engineering (CSCE) Conference,2009
2. Research on Temporal Uncertainty in Substation Construction Schedule Planning Module [J];bai;Guangdong Electric Power,2009
3. Simulation and analytical techniques for construction resource planning and scheduling
4. Research of Project Schedule Control Based on the Critical Chain in 500kV Power Substation[D];wei;North China Electric Power University(Beijing),2017
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