2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

1 / 2019-01-09 20:17:46

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

T-S Fuzzy Neural Network; Fully Mechanized Sub-level Caving Face; Work Efficiency; Prediction

Aiming at the exact prediction and raising of output and work efficiency in fully mechanized sub-level caving face, the T-S fuzzy neural network model is designed and applied in the paper, with the advantages of T-S fuzzy system and neural network model. The application results show that the prediction method is simple and feasible, and can provide a new way for the work efficiency prediction of fully mechanized sub-level caving face. Compared with the 3-layer BP model, the prediction model designed in the paper haspreferable learning properties and mapping capabilities, and the advantages of model application is more obvious.