Intelligent metallogenic prediction-oriented case-based reasoning model and approach
Zhonghai He · Journal of China University of Mining and Technology · 2012
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.