面向智能成矿预测的案例推理模型与方法

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。

Intelligent metallogenic prediction-oriented case-based reasoning model and approach

Based on the traditional case-based reasoning model,a kind of intelligent metallogenic prediction model and approach,metallogenic case-based reasoning,is proposed,which combines spatial features and non-spatial attributes,and is composed by metallogenic case expression model,metallogenic case base storage organization and metallogenic case retrieval model.Then,with gold resources potential prediction of east Kunlun area in Qinghai province as experimental subjects,the regional metallogenic prediction experiments based on metallogenic case-based reasoning model and weights of evidence model are discussed.The experiment results show that the prediction accuracy of metallogenic case-based reasoning model is much higher than that of traditional weights of evidence model.The metallogenic case-based reasoning model and approach is fit for regional metallogenic prediction.