The invention discloses an ore
body contour prediction model training method and device and an ore
body contour prediction method and device, and relates to the technical field of intelligent mines and the technical field of
artificial intelligence, and the method comprises the steps: obtaining training sample data used for training an ore
body contour prediction model, the training sample data comprises three-dimensional
voxel model data of continuous N
layers of a mine, the data are used as training sample input data and ore body contour actual measurement data of the next layer of the N
layers; inputting a to-be-trained ore body contour prediction model to obtain output ore body contour prediction data of the next layer of the N
layers; based on the obtained ore body contour prediction data and the ore body contour actual measurement data, determining whether the model training meets a convergence condition or not; if the convergence condition is met, it is determined that training of the ore body contour prediction model is completed, and if the convergence condition is not met,
model parameters of the ore body contour prediction model are adjusted. By adopting the scheme, the ore body contour prediction model capable of effectively and accurately predicting the ore body contour is obtained.