As the mining depth was large, and the loading condition of the end of the shearer was more complicated. In this paper, the internal factors affecting the load of the shearer were systematically analyzed, and the balance index of the load the shearer was obtained. Based on the wavelet neural method, the prediction structure of the end load was established on the basis of the end structure of the shearer. The error of the prediction model and the actual situation was within 3%. Finally, by analyzing the fuzzy membership function of the motor current, the load of the end of the shearer was analyzed.