ABSTRACT
Neural network systems are powerful tools for data analysis, data structure learning and interpreting. This ability of them provides their use in extension of drill hole values and reserve estimation. In this study, a neural network system developed for data extension and its application to a coal deposit is introduced. The system has training and estimation capabilities. Out of 119 drill holes, 107 drill holes are used for training and 12 drill holes for testing. After obtaining an acceptable estimation error for the level of learning, the system extends the sample data to 3D-block model. The results and tests show that the system is a reliable extension tool.
