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针对矿产资源潜力预测的问题,以案例推理模型为基础,顾及地质空间数据的空间特征,提出一种智能成矿预测方法———成矿案例推理模型与方法,具体包括耦合空间特征和属性特征的成矿案例表达模型、成矿案例库存储组织、成矿案例相似性检索模型等.以青海省东昆仑地区金矿资源潜力预测为例,进行了基于成矿案例推理模型和证据权模型的区域成矿预测实验,并将成矿案例推理模型实验结果与传统的证据权模型实验结果进行了对比.结果表明:成矿案例推理模型较传统的证据权模型方法预测精度更高,该模型与方法用于区域成矿预测效果良好.
Based on the case-based reasoning model and considering the spatial characteristics of geospatial data, aiming at the problem of mineral resources potential prediction, an intelligent ore-forming prediction method is proposed based on case-based reasoning model and method, including the coupling spatial features and attribute features The mineralization case repository and the metallogenic case similarity retrieval model, etc. Taking the prediction of the gold resource potential in the eastern Kunlun area of Qinghai Province as an example, this paper conducts a case study based on the metallogenic case inference model and the evidence right model Regional ore-forming prediction experiment, and compares the results of the metallogenic case inference model with those of the traditional evidence-based model.The results show that the metallogenic case-based reasoning model is more accurate than the traditional evidence-based model method, and the model and the method It is effective for regional ore-forming prediction.