Expert System for Statistical Prediction of Mineral Deposits on Middle and Large Scales

作     者：Zhao Pengda Hu Guangdao Li XinzhongFaculty of Mineral Resources, China University of Geosciences, Wuhan 430074 

出 版 物：《Journal of Earth Science》 (地球科学学刊（英文版）)

年 卷 期：1995年第14卷第2期

页      面：76-83页

核心收录：

学科分类：081803[工学-地质工程] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：The study is supported by the Ministry of Geology and Mineral Resources 

主　　题：statistical prediction of mineral resources expert system scientific explora-tion geological anomaly expert system of cooperation type. 

摘      要：The expert system for statistical prediction of mineral deposits on middle and large scales takes the system of scientific exploration theories, criteria and methods proposed by Professor Zhao Pengda as the field expert knowledge. At present the developed system focuses on two aspects: synthetic exploration and quantitative exploration. Among the three basic theories for the prediction of deposits, it highlights the applications of seeking anomaly theory. This system is characteristic in the determination of geological background, the study of geological anomalies and the delineation of geological background, the study of geological anomalies and the delineation of mineralization anomalies. The system combines closely the knowledge base, method base and database .integrates the input and output information of multi - sources and mul-ti - variables , data , graphs and imagine processing system and inquiring system as a whole . So the system can meet in general all kinds of demands in statistical prediction of mineral deposits . Since the statistical prediction of mineral resources is a kind of systematic engineering pro ject , a further study should be carried out on the fields of theoretical exploration and ster eo - exploration on the basis of unceasingly perfecting the above-mentioned fields in order to establish a comprehensive intelligent system for scientific exploration , to provide new methods , new techniques and new ideas for fast prospecting appraisal of mineral resources .