The comparison study on the methods of coal resources assets classification

The classification of coal resources assets is the basic and important work to carry out coal resources management; its reliability is the precondition to complete the work effectively. Four classification models are built according to the characteristics of coal resources assets. The models include classification model based on Fuzzy clustering, based on BP networks, based on adaptive resonance theory networks and based on Rough sets and neural networks. The software of the classification is programmed accordingly. The validity of these models is proved by an example. The comparison and analysis of the models are carried out. Some suggestions on the use of the models are put forward.