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
Index Terms:
mine, coordination development ability, appraisal, back-propagation algorithm
Citation:
Jun Xu, "Study of Artificial Neural Network Appraisal to Mine Coordination Development Ability," isip, pp.97-101, 2008 International Symposiums on Information Processing, 2008