Case-based reasoning and GIS approach to regional metallogenic prediction

Traditional qualitative methods and quantitative geostatistical methods are usually two kinds of ways for regional metallogenic prediction, the former´s workloads are large and heavy, the latter´s algorithm models are complex. In order to propose a new, simple and more accurate method, this paper carried out research work on Case-Based Reasoning and GIS approach to regional metallogenic prediction. The metallogenic Case-Based Reasoning model including metallogenic case expression model and metallogenic case retrieval model was well discussed, the reasoning flow was given, experiment to Gold mine prediction was fully done. The experiment results show the prediction of metallogenic Case-Based Reasoning is effective.