Application of BP Neural Network in Discriminating Water Inrush Source of Coal Mine: A Case Study on Panyi Mine

摘要

Discriminating the water inrush source of coal mine quickly and correctly is the precondition of water control. This paper described the BP neural network model and its specific algorithm, then applied it to the Panyi mine, The discriminating model is established from the training samples using BP algorithm and the hydro-chemical characteristics of Panyi mine. Then comparison with the fuzzy discriminate model, experimental results showed that the applying of the BP neural network to distinguish the water inrush source in mine produced a better effective. The accuracy rate is higher than fuzzy discriminate model. The BP neural network is an effective way to distinguishing the water inrush source in mine. It provides an assistant means for decision-making to prevent water-inrush in mine.