摘要
利用地理信息系统(GIS)和人工神经网络(ANN)相结合,提出的基于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。其中的主要模块为:地质变量优选模块、数据库管理模块、神经网络成矿预测模块和图形处理功能模块。它们之间通过数据库进行数据传输与共享达到互相连接。
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 showed.
出处
《化工矿产地质》
CAS
2004年第3期175-180,共6页
Geology of Chemical Minerals
基金
国家"十五"科技攻关项目(编号:2001BA609A-06)
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
