神经网络与遗传算法结合在矿业评价中的应用  

Application of the combination of genetic algorithm with artificial neural network in the appraisal of mining industry

作　　者：蒋云霞[1] 蔡嗣经[1] 

机构地区：[1]北京科技大学土木与环境工程学院,北京100083

出　　处：《辽宁工程技术大学学报（自然科学版）》2006年第5期777-780,共4页Journal of Liaoning Technical University (Natural Science)

摘　　要：采用具有高度非线性识别能力的人工神经网络与遗传算法相结合的方法,探讨了应用于区域产业主导产业评价分类的基本方法,并且采用国际通用的区域产业主导行业评价指标体系,对青海省矿业产业分类评价进行了实证研究,实证结果表明,该方法能够高精度的识别青海省矿业主导产业,在一定程度上避免了人工辨识的主观性,为区域经济发展的决策支持提供了一个重要的模型。The method of combination of genetic algorithm and artificial neural network with highly non-linear recognition capability has been applied in the regional leading industries. And the appraisal index system approved by international organization has been adopted in this paper. The method has been applied in mineral industry in Qinghai. Using this model , the subjectivity can be declined and the accuracy has been improved. It provides the important model for deciding the regional economic develooment.

关 键 词：遗传算法 人工神经网络 区域产业 主导产业 

分 类 号：TD76[矿业工程—矿井通风与安全]