Title :
Study of Artificial Neural Network Appraisal to Mine Coordination Development Ability
Author_Institution :
Sch. of Econ. & Manage., Henan Polytech. Univ., Jiaozuo
Abstract :
The coordination development of mine was a complex nonlinear system, which included lots of factors. Based on analyzing the current methods for appraisal of coordination development of mine, an appraisal-index system was established. A neural network model with multi-hierarchic structure was built based on error back-propagation (BP) algorithm. This model could overcome many man-made factors with some advantages: lower rorrate; being of coordinatio development; convenient and reliable. The validity and accuracy of this method was proved by case study.
Keywords :
backpropagation; mining; neural nets; artificial neural network appraisal; complex nonlinear system; error back-propagation algorithm; mine coordination development; multihierarchic structure; Appraisal; Artificial neural networks; Backpropagation algorithms; Concrete; Decision making; Environmental economics; Humans; Information processing; Mathematics; Neural networks; appraisal; back-propagation algorithm; coordination development ability; mine;
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
DOI :
10.1109/ISIP.2008.117
