Prediction on Work Efficiency of Fully Mechanized Sub-level Caving Face Based on T-S Fuzzy Neural Network

To exactly predict and raise the output and work efficiency in fully mechanized sub-level caving face, in this paper, we design and implement a new prediction model with the advantages of T-S fuzzy system and neural network model. The application results show that the prediction model is simple and feasible, and provide an effective way for predicting the work efficiency in fully mechanized sub-level caving face. Compared with the 3-layer BP model, our prediction model owns preferable learning properties and mapping capabilities, and has more obvious advantages to apply in practice.