基于人工神经网络的高产高效矿井经营绩效排序  

Ordering on Operating Effects of High Output and High Efficiency Mines Based on the Method of Artificial Neural Network

作　　者：彭建良[1] 魏巍贤[1] 王中银 

机构地区：[1]中国矿业大学工商管理学院,江苏徐州221008 [2]徐州矿务局,江苏徐州221006

出　　处：《系统工程理论与实践》1999年第11期124-126,共3页Systems Engineering-Theory & Practice

摘　　要：为了更科学地解决高产高效矿井经营绩效多指标综合排序问题，本文提出了一种基于人工神经网络的排序新方法．确定神经网络结构的最优算法准则是：各矿井经营绩效的实际评价值与理想值之间越一致越好．从而，排序得以实现，其结果与实际情况相符．For more scientifically solving the problem of ordering synthetic effects of high output and high efficiency mines under multi\|indexes system, a new method based on artificial neural network is put forward in this paper. The optimal algorithm principle which determines the structure of artificial neural network is that the more coordinate between the ideal values and the actual values of operating effects of high output and high efficiency mine is the better. Thus, the order of mines can be gained. The result shows that the method accordes with practice.

关 键 词：排序 煤炭工业 经营绩效 矿井 人工神经网络 

分 类 号：F407.21[经济管理—产业经济]