摘要
将地理信息系统(GIS)和人工神经网络(ANN)相结合,提出基于GIS的人工神经网络矿产预测系统设计方案,实现了从地质变量优选到人工神经网络成矿预测结果图形显示的计算机自动化处理,并对其中的主要模块:地质变量优选模块、数据库管理模块和神经网络成矿预测模块进行了介绍,简要说明了各模块功能实现中所应用的主要技术。
The process and method of development of ore predictive system based on geographic information system and artificial neural network ,with automatic processing from optimization of geological variable to graphical display of metallogenic prognosis,are described in this paper, design schedule of the system is put forward, sub-systems of database management ,GIS and ANN ore prediction are introduced and technical requirements for realization of the system are briefly shown.
出处
《地质找矿论丛》
CAS
CSCD
2004年第4期275-279,共5页
Contributions to Geology and Mineral Resources Research
基金
国家"十五"科技攻关项目(编号:2001BA609A 06)资助。
关键词
地理信息系统
人工神经网络
矿产预测
Geographic information system
artificial neural network
ore prediction
