Application of genetic neural network in material classification of coal enterprise

LIU Lei; LU Jian-jun; WEI Chen; LIU Zhi-peng

doi:10.13873/J.1000-9787(2016)08-0155-03

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Application of genetic neural network in material classification of coal enterprise

更新时间：2025-09-11

- Application of genetic neural network in material classification of coal enterprise
- Vol. 35, Issue 8, Pages: 155-157(2016)
- 作者机构：
  
  1. 西安邮电大学通信与信息工程学院
  2. 西安邮电大学经济与管理学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)08-0155-03
  CLC： F426.21;F251;TP183
- Published：2016
- 稿件说明：
移动端阅览
[1]刘蕾,卢建军,卫晨,刘志鹏.遗传神经网络在煤炭企业物资分类中的应用[J].传感器与微系统,2016,35(08):155-157.

LIU Lei, LU Jian-jun, WEI Chen, et al. Application of genetic neural network in material classification of coal enterprise[J]. 2016, 35(8): 155-157.
[1]刘蕾,卢建军,卫晨,刘志鹏.遗传神经网络在煤炭企业物资分类中的应用[J].传感器与微系统,2016,35(08):155-157. DOI： 10.13873/J.1000-9787(2016)08-0155-03.

LIU Lei, LU Jian-jun, WEI Chen, et al. Application of genetic neural network in material classification of coal enterprise[J]. 2016, 35(8): 155-157. DOI： 10.13873/J.1000-9787(2016)08-0155-03.

摘要

在快速变化的市场和越发剧烈的行业竞争中

煤炭企业原有人工物资分类方法暴露出越来越多的缺陷。以供求度、价值度以及供应效率三个指标为输入提出了基于遗传优化的BP神经网络的分类方法

对企业物资分类管理策略进行了优化研究。通过Matlab仿真

验证了该模型的科学性与准确性。

Abstract

The competition of coal enterprise is more and more intense in a rapidly changing market. The old manually material classification method of this industry exposes an increasing number of defects. The classification method of BP neural network based on genetic optimization is proposed based on three indexes of degree of supply and demand

value degree and supply efficiency. The scientific and accuracy of the model is verified by Matlab simulation.

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references

基于概率神经网络的煤炭企业物资分类方法研究 [J]. 韩赛,卢建军,卫晨,刘志鹏. 工矿自动化 . 2014(04)

基于改进的ABC模糊分类法煤矿物资分类 [J]. 郭海湘,杨娟,杨文霞,诸克军. 辽宁工程技术大学学报(自然科学版) . 2010(05)

一种基于遗传算法的BP神经网络算法及其应用 [J]. 王崇骏,于汶滌,陈兆乾,谢俊元. 南京大学学报(自然科学版) . 2003(05)

煤炭企业生态竞争力评价及实证研究 [D]. 王文良. 中国地质大学 2013

钢铁集团生产物资供应管理系统研究及应用 [D]. 徐佳. 大连理工大学 2008

面向MATLAB工具箱的神经网络理论与应用[M]. 中国科学技术大学出版社 , 丛爽编著, 1998

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