Title :
A Neural Network for Guizhou Gold Mine Reserve Prediction
Author :
Liu, Hong ; Li Wang
Author_Institution :
Dept. of Math., Anshan Teachers Coll.
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;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712923
