DocumentCode
2729719
Title
A Neural Network for Guizhou Gold Mine Reserve Prediction
Author
Liu, Hong ; Li Wang
Author_Institution
Dept. of Math., Anshan Teachers Coll.
Volume
1
fYear
0
fDate
0-0 0
Firstpage
3033
Lastpage
3037
Abstract
According to the influential factors and features of deposit reserve, a resilient BP network prediction model for deposit reserve is established based on BP neural network in non-linear algorithm. The paper takes the gold deposit concentrated regions with proved reserve of Guizhou province as model unit and carries out classified prediction on its Au abnormally concentrated area
Keywords
backpropagation; gold; mining; neural nets; BP neural network prediction; Guizhou gold mine reserve prediction; nonlinear algorithm; Computer networks; Cost accounting; Geology; Gold; Information analysis; Logic; Mathematical model; Mineral resources; Neural networks; Predictive models; Au abnormally concentrated area; mineral resource prediction; resilient BP algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1712923
Filename
1712923
Link To Document